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ORCIDJohn H. L. Hansen
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- affiliation: University of Texas at Dallas, TX, USA
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2020 – today
- 2025
[j160]Satwik Dutta
, Dwight Irvin, John H. L. Hansen:
Exploring discrete speech units for privacy-preserving and efficient speech recognition for school-aged and preschool children. Int. J. Hum. Comput. Stud. 199: 103460 (2025)- [i54]Qing Wang, Jixun Yao, Zhaokai Sun, Pengcheng Guo, Lei Xie, John H. L. Hansen:
DiffAttack: Diffusion-based Timbre-reserved Adversarial Attack in Speaker Identification. CoRR abs/2501.05127 (2025) - [i53]Mufan Sang, John H. L. Hansen:
UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification. CoRR abs/2501.16542 (2025) - 2024
- [j159]Zhenyu Wang, John H. L. Hansen:
Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples. IEEE Access 12: 99894-99911 (2024) - [j158]Hanseok Ko, Monson Hayes, John H. L. Hansen:
Meeting the Challenges of a Growing ICASSP: Highlights from ICASSP 2024 [Conference Highlights]. IEEE Signal Process. Mag. 41(3): 6-14 (2024) - [j157]Vinay Kothapally, John H. L. Hansen:
Monaural Speech Dereverberation Using Deformable Convolutional Networks. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1712-1723 (2024) - [j156]Nursadul Mamun, John H. L. Hansen:
Speech Enhancement for Cochlear Implant Recipients Using Deep Complex Convolution Transformer With Frequency Transformation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2616-2629 (2024) - [c420]Xi Liu, Szu-Jui Chen, John H. L. Hansen:
Dual-Path Minimum-Phase and All-Pass Decomposition Network for Single Channel Speech Dereverberation. ICASSP 2024: 1261-1265 - [c419]Taylor Lawson, John H. L. Hansen:
Situational Signal Processing with Ecological Momentary Assessment: Leveraging Environmental Context for Cochlear Implant Users. ICASSP 2024: 2131-2135 - [c418]Bin Guo, John H. L. Hansen:
T-EnFP: An Efficient Transformer Encoder-Based System for Driving Behavior Classification. ICASSP 2024: 6830-6834 - [c417]Meena M. Chandra Shekar, John H. L. Hansen:
Apollo's Unheard Voices: Graph Attention Networks for Speaker Diarization and Clustering for Fearless Steps Apollo Collection. ICASSP 2024: 11881-11885 - [c416]Mufan Sang, John H. L. Hansen:
Efficient Adapter Tuning of Pre-Trained Speech Models for Automatic Speaker Verification. ICASSP 2024: 12131-12135 - [c415]John H. L. Hansen, Aditya Joglekar, Meena M. Chandra Shekar, Szu-Jui Chen, Xi Liu:
Fearless Steps Apollo: Team Communications Based Community Resource Development for Science, Technology, Education, and Historical Preservation. ICASSP 2024: 12816-12820 - [c414]Xi Liu, John H. L. Hansen:
DNN-based monaural speech enhancement using alternate analysis windows for phase and magnitude modification. INTERSPEECH 2024 - [c413]Bin Guo, John H. L. Hansen:
Enhanced Vehicle Detection System with Advanced Deformation Feature Extraction Algorithm. ITSC 2024: 707-712 - [c412]Satwik Dutta, Iván López-Espejo, Dwight Irvin, John H. L. Hansen:
Joint Language and Speaker Classification in Naturalistic Bilingual Adult-Toddler Interactions. Odyssey 2024: 81-85 - [i52]Mufan Sang, John H. L. Hansen:
Efficient Adapter Tuning of Pre-trained Speech Models for Automatic Speaker Verification. CoRR abs/2403.00293 (2024) - [i51]Ismail Rasim Ulgen, Carlos Busso, John H. L. Hansen, Berrak Sisman:
We Need Variations in Speech Synthesis: Sub-center Modelling for Speaker Embeddings. CoRR abs/2407.04291 (2024) - [i50]Satwik Dutta, John H. L. Hansen:
Navigating the United States Legislative Landscape on Voice Privacy: Existing Laws, Proposed Bills, Protection for Children, and Synthetic Data for AI. CoRR abs/2407.19677 (2024) - [i49]Zhenyu Wang, John H. L. Hansen:
Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples. CoRR abs/2408.13341 (2024) - 2023
- [j155]Midia Yousefi, John H. L. Hansen:
Single-channel speech separation using soft-minimum permutation invariant training. Speech Commun. 151: 76-85 (2023) - [j154]Aditya Joglekar, John H. L. Hansen:
DeepComboSAD: Spectro-Temporal Correlation Based Speech Activity Detection for Naturalistic Audio Streams. IEEE Signal Process. Lett. 30: 1472-1476 (2023) - [j153]Meena M. Chandra Shekar, John H. L. Hansen:
Historical Audio Search and Preservation: Finding Waldo Within the Fearless Steps Apollo 11 Naturalistic Audio Corpus [Applications Corner]. IEEE Signal Process. Mag. 40(3): 30-38 (2023) - [j152]Shahram Ghorbani, John H. L. Hansen:
Domain Expansion for End-to-End Speech Recognition: Applications for Accent/Dialect Speech. IEEE ACM Trans. Audio Speech Lang. Process. 31: 762-774 (2023) - [j151]Ria Ghosh, John H. L. Hansen:
Bilateral Cochlear Implant Processing of Coding Strategies With CCi-MOBILE, an Open-Source Research Platform. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1839-1850 (2023) - [j150]Wei Xia, John H. L. Hansen:
Attention and DCT Based Global Context Modeling for Text-Independent Speaker Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2668-2679 (2023) - [c411]Iván López-Espejo, Ram C. M. C. Shekar, Zheng-Hua Tan, Jesper Jensen, John H. L. Hansen:
Filterbank Learning for Noise-Robust Small-Footprint Keyword Spotting. ICASSP 2023: 1-5 - [c410]Mufan Sang, Yong Zhao, Gang Liu, John H. L. Hansen, Jian Wu:
Improving Transformer-Based Networks with Locality for Automatic Speaker Verification. ICASSP 2023: 1-5 - [c409]Nursadul Mamun, John H. L. Hansen:
CFTNet: Complex-valued Frequency Transformation Network for Speech Enhancement. INTERSPEECH 2023: 809-813 - [c408]Ram C. M. C. Shekar, Mu Yang, Kevin Hirschi, Stephen D. Looney, Okim Kang, John H. L. Hansen:
Assessment of Non-Native Speech Intelligibility using Wav2vec2-based Mispronunciation Detection and Multi-level Goodness of Pronunciation Transformer. INTERSPEECH 2023: 984-988 - [c407]Jiamin Xie, John H. L. Hansen:
MixRep: Hidden Representation Mixup for Low-Resource Speech Recognition. INTERSPEECH 2023: 1304-1308 - [c406]Meena M. Chandra Shekar, John H. L. Hansen:
Speaker Tracking using Graph Attention Networks with Varying Duration Utterances across Multi-Channel Naturalistic Data: Fearless Steps Apollo-11 Audio Corpus. INTERSPEECH 2023: 1459-1463 - [c405]Mu Yang, Ram C. M. C. Shekar, Okim Kang, John H. L. Hansen:
What Can an Accent Identifier Learn? Probing Phonetic and Prosodic Information in a Wav2vec2-based Accent Identification Model. INTERSPEECH 2023: 1923-1927 - [i48]Mufan Sang, Yong Zhao, Gang Liu, John H. L. Hansen, Jian Wu:
Improving Transformer-based Networks With Locality For Automatic Speaker Verification. CoRR abs/2302.08639 (2023) - [i47]Mu Yang, Ram C. M. C. Shekar, Okim Kang, John H. L. Hansen:
What Can an Accent Identifier Learn? Probing Phonetic and Prosodic Information in a Wav2vec2-based Accent Identification Model. CoRR abs/2306.06524 (2023) - [i46]Hsin-Tien Chiang, Szu-Wei Fu, Hsin-Min Wang, Yu Tsao, John H. L. Hansen:
Multi-objective Non-intrusive Hearing-aid Speech Assessment Model. CoRR abs/2311.08878 (2023) - 2022
- [j149]Iván López-Espejo, Zheng-Hua Tan, John H. L. Hansen, Jesper Jensen:
Deep Spoken Keyword Spotting: An Overview. IEEE Access 10: 4169-4199 (2022) - [j148]Rasa Lileikyte, Dwight Irvin, John H. L. Hansen:
Assessing child communication engagement and statistical speech patterns for American English via speech recognition in naturalistic active learning spaces. Speech Commun. 140: 98-108 (2022) - [j147]Zhenyu Wang, John H. L. Hansen:
Multi-Source Domain Adaptation for Text-Independent Forensic Speaker Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 30: 60-75 (2022) - [j146]Vinay Kothapally, John H. L. Hansen:
SkipConvGAN: Monaural Speech Dereverberation Using Generative Adversarial Networks via Complex Time-Frequency Masking. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1600-1613 (2022) - [j145]Ria Ghosh, Hussnain Ali, John H. L. Hansen:
CCi-MOBILE: A Portable Real Time Speech Processing Platform for Cochlear Implant and Hearing Research. IEEE Trans. Biomed. Eng. 69(3): 1251-1263 (2022) - [j144]Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen:
Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study. IEEE Trans. Intell. Veh. 7(2): 210-220 (2022) - [c404]Ria Ghosh, John H. L. Hansen:
Bimodal Cochlear Implant Processing based on Assisted Hearing algorithms with CCi-MOBILE: an open-source research platform. EMBC 2022: 4265-4268 - [c403]Mufan Sang, John H. L. Hansen:
Multi-Frequency Information Enhanced Channel Attention Module for Speaker Representation Learning. INTERSPEECH 2022: 321-325 - [c402]John H. L. Hansen, Zhenyu Wang:
Audio Anti-spoofing Using Simple Attention Module and Joint Optimization Based on Additive Angular Margin Loss and Meta-learning. INTERSPEECH 2022: 376-380 - [c401]Jiamin Xie, John H. L. Hansen:
DEFORMER: Coupling Deformed Localized Patterns with Global Context for Robust End-to-end Speech Recognition. INTERSPEECH 2022: 1392-1396 - [c400]Avamarie Brueggeman, John H. L. Hansen:
Speaker Trait Enhancement for Cochlear Implant Users: A Case Study for Speaker Emotion Perception. INTERSPEECH 2022: 2268-2272 - [c399]Vinay Kothapally, John H. L. Hansen:
Complex-Valued Time-Frequency Self-Attention for Speech Dereverberation. INTERSPEECH 2022: 2543-2547 - [c398]Szu-Jui Chen, Jiamin Xie, John H. L. Hansen:
FeaRLESS: Feature Refinement Loss for Ensembling Self-Supervised Learning Features in Robust End-to-end Speech Recognition. INTERSPEECH 2022: 3058-3062 - [c397]Satwik Dutta, Sarah Anne Tao, Jacob C. Reyna, Rebecca Elizabeth Hacker, Dwight W. Irvin, Jay F. Buzhardt, John H. L. Hansen:
Challenges remain in Building ASR for Spontaneous Preschool Children Speech in Naturalistic Educational Environments. INTERSPEECH 2022: 4322-4326 - [c396]Mu Yang, Kevin Hirschi, Stephen Daniel Looney, Okim Kang, John H. L. Hansen:
Improving Mispronunciation Detection with Wav2vec2-based Momentum Pseudo-Labeling for Accentedness and Intelligibility Assessment. INTERSPEECH 2022: 4481-4485 - [c395]Chelzy Belitz, John H. L. Hansen:
Challenges in Metadata Creation for Massive Naturalistic Team-Based Audio Data. INTERSPEECH 2022: 5210-5214 - [c394]Juliana N. Saba, John H. L. Hansen:
Speech Modification for Intelligibility in Cochlear Implant Listeners: Individual Effects of Vowel- and Consonant-Boosting. INTERSPEECH 2022: 5473-5477 - [e3]Hanseok Ko, John H. L. Hansen:
23rd Annual Conference of the International Speech Communication Association, Interspeech 2022, Incheon, Korea, September 18-22, 2022. ISCA 2022 [contents] - [i45]Zhenyu Wang, John H. L. Hansen:
Impact of Naturalistic Field Acoustic Environments on Forensic Text-independent Speaker Verification System. CoRR abs/2201.13246 (2022) - [i44]Mu Yang, Kevin Hirschi, Stephen D. Looney, Okim Kang, John H. L. Hansen:
Improving Mispronunciation Detection with Wav2vec2-based Momentum Pseudo-Labeling for Accentedness and Intelligibility Assessment. CoRR abs/2203.15937 (2022) - [i43]Szu-Jui Chen, Jiamin Xie, John H. L. Hansen:
FeaRLESS: Feature Refinement Loss for Ensembling Self-Supervised Learning Features in Robust End-to-end Speech Recognition. CoRR abs/2206.15056 (2022) - [i42]Mufan Sang, John H. L. Hansen:
Multi-Frequency Information Enhanced Channel Attention Module for Speaker Representation Learning. CoRR abs/2207.04540 (2022) - [i41]Wei Xia, John H. L. Hansen:
Data-driven Attention and Data-independent DCT based Global Context Modeling for Text-independent Speaker Recognition. CoRR abs/2208.02778 (2022) - [i40]Mu Yang, Andros Tjandra, Chunxi Liu, David Zhang, Duc Le, John H. L. Hansen, Ozlem Kalinli:
Learning ASR pathways: A sparse multilingual ASR model. CoRR abs/2209.05735 (2022) - [i39]Aditya Joglekar, John H. L. Hansen:
Fearless Steps Challenge Phase-1 Evaluation Plan. CoRR abs/2211.02051 (2022) - [i38]Zhenyu Wang, John H. L. Hansen:
Audio Anti-spoofing Using a Simple Attention Module and Joint Optimization Based on Additive Angular Margin Loss and Meta-learning. CoRR abs/2211.09898 (2022) - [i37]Zhenyu Wang, John H. L. Hansen:
Multi-source Domain Adaptation for Text-independent Forensic Speaker Recognition. CoRR abs/2211.09913 (2022) - [i36]Iván López-Espejo, Ram C. M. C. Shekar, Zheng-Hua Tan, Jesper Jensen, John H. L. Hansen:
Filterbank Learning for Small-Footprint Keyword Spotting Robust to Noise. CoRR abs/2211.10565 (2022) - [i35]Vinay Kothapally, John H. L. Hansen:
SkipConvGAN: Monaural Speech Dereverberation using Generative Adversarial Networks via Complex Time-Frequency Masking. CoRR abs/2211.12623 (2022) - [i34]Vinay Kothapally, John H. L. Hansen:
Complex-Valued Time-Frequency Self-Attention for Speech Dereverberation. CoRR abs/2211.12632 (2022) - 2021
- [j143]Fahimeh Bahmaninezhad, Chunlei Zhang, John H. L. Hansen:
An investigation of domain adaptation in speaker embedding space for speaker recognition. Speech Commun. 129: 7-16 (2021) - [j142]Shivesh Ranjan, John H. L. Hansen:
Curriculum Learning based approaches for robust end-to-end far-field speech recognition. Speech Commun. 132: 123-131 (2021) - [j141]John H. L. Hansen, Allen R. Stauffer, Wei Xia:
Nonlinear waveform distortion: Assessment and detection of clipping on speech data and systems. Speech Commun. 134: 20-31 (2021) - [j140]Midia Yousefi, John H. L. Hansen:
Block-Based High Performance CNN Architectures for Frame-Level Overlapping Speech Detection. IEEE ACM Trans. Audio Speech Lang. Process. 29: 28-40 (2021) - [j139]Finnian Kelly, John H. L. Hansen:
Analysis and Calibration of Lombard Effect and Whisper for Speaker Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 29: 927-942 (2021) - [j138]Kazi Nazmul Haque, Rajib Rana, Jiajun Liu, John H. L. Hansen, Nicholas Cummins, Carlos Busso, Björn W. Schuller:
Guided Generative Adversarial Neural Network for Representation Learning and Audio Generation Using Fewer Labelled Audio Data. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2575-2590 (2021) - [c393]Midia Yousefi, John H. L. Hansen:
Speaker Conditioning of Acoustic Models Using Affine Transformation for Multi-Speaker Speech Recognition. ASRU 2021: 283-288 - [c392]Szu-Jui Chen, Wei Xia, John H. L. Hansen:
Scenario Aware Speech Recognition: Advancements for Apollo Fearless Steps & CHiME-4 Corpora. ASRU 2021: 289-295 - [c391]Mufan Sang, Wei Xia, John H. L. Hansen:
DEAAN: Disentangled Embedding and Adversarial Adaptation Network for Robust Speaker Representation Learning. ICASSP 2021: 6169-6173 - [c390]Prasanna V. Kothalkar, Sathvik Datla, Satwik Dutta, John H. L. Hansen, Yagmur Seven, Dwight Irvin, Jay Buzhardt:
Measuring Frequency of Child-directed WH-Question Words for Alternate Preschool Locations using Speech Recognition and Location Tracking Technologies. ICMI Companion 2021: 414-418 - [c389]Aditya Joglekar, Seyed Omid Sadjadi, Meena Chandra Shekar, Christopher Cieri, John H. L. Hansen:
Fearless Steps Challenge Phase-3 (FSC P3): Advancing SLT for Unseen Channel and Mission Data Across NASA Apollo Audio. Interspeech 2021: 986-990 - [c388]Midia Yousefi, John H. L. Hansen:
Real-Time Speaker Counting in a Cocktail Party Scenario Using Attention-Guided Convolutional Neural Network. Interspeech 2021: 1484-1488 - [c387]Ram C. M. C. Shekar, Chelzy Belitz, John H. L. Hansen:
Development of CNN-Based Cochlear Implant and Normal Hearing Sound Recognition Models Using Natural and Auralized Environmental Audio. SLT 2021: 728-733 - [c386]Hazem Younis, John H. L. Hansen:
Challenges in real-time-embedded IoT Command Recognition. WF-IoT 2021: 848-851 - [i33]Szu-Jui Chen, Wei Xia, John H. L. Hansen:
Scenario Aware Speech Recognition: Advancements for Apollo Fearless Steps & CHiME-4 Corpora. CoRR abs/2109.11086 (2021) - [i32]Midia Yousefi, John H. L. Hansen:
Real-time Speaker counting in a cocktail party scenario using Attention-guided Convolutional Neural Network. CoRR abs/2111.00316 (2021) - [i31]Midia Yousefi, John H. L. Hansen:
Single-channel speech separation using Soft-minimum Permutation Invariant Training. CoRR abs/2111.08635 (2021) - [i30]Iván López-Espejo, Zheng-Hua Tan, John H. L. Hansen, Jesper Jensen:
Deep Spoken Keyword Spotting: An Overview. CoRR abs/2111.10592 (2021) - [i29]Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen:
Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study. CoRR abs/2112.04042 (2021) - 2020
- [c385]Ria Ghosh, Ram Charan Chandra Shekar, John H. L. Hansen:
Portable Smart-Space Research Interface to Predetermine Environment Acoustics for Cochlear implant and Hearing aid users with CCi-MOBILE. EMBC 2020: 4221-4224 - [c384]Midia Yousefi, John H. L. Hansen:
Frame-Based Overlapping Speech Detection Using Convolutional Neural Networks. ICASSP 2020: 6744-6748 - [c383]Zhenyu Wang, John H. L. Hansen, Yanlu Xie:
A multi-view approach for Mandarin non-native mispronunciation verification. ICASSP 2020: 8079-8083 - [c382]Zhenyu Wang, Wei Xia, John H. L. Hansen:
Cross-Domain Adaptation with Discrepancy Minimization for Text-Independent Forensic Speaker Verification. INTERSPEECH 2020: 2257-2261 - [c381]Mufan Sang, Wei Xia, John H. L. Hansen:
Open-Set Short Utterance Forensic Speaker Verification Using Teacher-Student Network with Explicit Inductive Bias. INTERSPEECH 2020: 2262-2266 - [c380]Aditya Joglekar, John H. L. Hansen, Meena Chandra Shekhar, Abhijeet Sangwan:
FEARLESS STEPS Challenge (FS-2): Supervised Learning with Massive Naturalistic Apollo Data. INTERSPEECH 2020: 2617-2621 - [c379]Wei Xia, John H. L. Hansen:
Speaker Representation Learning Using Global Context Guided Channel and Time-Frequency Transformations. INTERSPEECH 2020: 3226-3230 - [c378]Vinay Kothapally, Wei Xia, Shahram Ghorbani, John H. L. Hansen, Wei Xue, Jing Huang:
SkipConvNet: Skip Convolutional Neural Network for Speech Dereverberation Using Optimally Smoothed Spectral Mapping. INTERSPEECH 2020: 3935-3939 - [c377]Kevin Hirschi, Okim Kang, Catia Cucchiarini, John H. L. Hansen, Keelan Evanini, Helmer Strik:
Mobile-Assisted Prosody Training for Limited English Proficiency: Learner Background and Speech Learning Pattern. INTERSPEECH 2020: 4452-4456 - [c376]Avamarie Brueggeman, John H. L. Hansen:
Effect of Spectral Complexity Reduction and Number of Instruments on Musical Enjoyment with Cochlear Implants. INTERSPEECH 2020: 4636-4640 - [c375]Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen:
Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles. IV 2020: 182-187 - [c374]Rasa Lileikyte, Dwight Irvin, John H. L. Hansen:
Assessing Child Communication Engagement via Speech Recognition in Naturalistic Active Learning Spaces. Odyssey 2020: 396-401 - [i28]Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen:
Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles. CoRR abs/2007.04350 (2020) - [i27]Vinay Kothapally, Wei Xia, Shahram Ghorbani, John H. L. Hansen, Wei Xue, Jing Huang:
SkipConvNet: Skip Convolutional Neural Network for Speech Dereverberation using Optimally Smoothed Spectral Mapping. CoRR abs/2007.09131 (2020) - [i26]Aditya Joglekar, John H. L. Hansen, Meena Chandra Shekhar, Abhijeet Sangwan:
FEARLESS STEPS Challenge (FS-2): Supervised Learning with Massive Naturalistic Apollo Data. CoRR abs/2008.06764 (2020) - [i25]Wei Xia, John H. L. Hansen:
Speaker Representation Learning using Global Context Guided Channel and Time-Frequency Transformations. CoRR abs/2009.00768 (2020) - [i24]Zhenyu Wang, Wei Xia, John H. L. Hansen:
Cross-domain Adaptation with Discrepancy Minimization for Text-independent Forensic Speaker Verification. CoRR abs/2009.02444 (2020) - [i23]Zhenyu Wang, John H. L. Hansen, Yanlu Xie:
A multi-view approach for Mandarin non-native mispronunciation verification. CoRR abs/2009.02573 (2020) - [i22]Mufan Sang, Wei Xia, John H. L. Hansen:
Open-set Short Utterance Forensic Speaker Verification using Teacher-Student Network with Explicit Inductive Bias. CoRR abs/2009.09556 (2020) - [i21]Meemnur Rashid, Kaisar Ahmed Alman, Khaled Hasan, John H. L. Hansen, Taufiq Hasan:
Respiratory Distress Detection from Telephone Speech using Acoustic and Prosodic Features. CoRR abs/2011.09270 (2020) - [i20]Mufan Sang, Wei Xia, John H. L. Hansen:
DEAAN: Disentangled Embedding and Adversarial Adaptation Network for Robust Speaker Representation Learning. CoRR abs/2012.06896 (2020)
2010 – 2019
- 2019
- [j137]John H. L. Hansen, Maryam Najafian, Rasa Lileikyte, Dwight Irvin, Beth S. Rous:
Speech and language processing for assessing child-adult interaction based on diarization and location. Int. J. Speech Technol. 22(3): 697-709 (2019) - [j136]Seyedmahdad Mirsamadi, John H. L. Hansen:
Multi-domain adversarial training of neural network acoustic models for distant speech recognition. Speech Commun. 106: 21-30 (2019) - [c373]Michelle Bancroft, Reza Lotfian, John H. L. Hansen, Carlos Busso:
Exploring the Intersection Between Speaker Verification and Emotion Recognition. ACII Workshops 2019: 337-342 - [c372]Shahram Ghorbani, Soheil Khorram, John H. L. Hansen:
Domain Expansion in DNN-Based Acoustic Models for Robust Speech Recognition. ASRU 2019: 107-113 - [c371]Salar Jafarlou, Soheil Khorram, Vinay Kothapally, John H. L. Hansen:
Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition. ASRU 2019: 252-259 - [c370]John H. L. Hansen, Hussnain Ali, Juliana N. Saba, M. C. Ram Charan, Nursadul Mamun, Ria Ghosh, Avamarie Brueggeman:
CCi-MOBILE: Design and Evaluation of a Cochlear Implant and Hearing Aid Research Platform for Speech Scientists and Engineers. BHI 2019: 1-4 - [c369]Chunlei Zhang, Fahimeh Bahmaninezhad, Shivesh Ranjan, Harishchandra Dubey, Wei Xia, John H. L. Hansen:
UTD-CRSS Systems for 2018 NIST Speaker Recognition Evaluation. ICASSP 2019: 5776-5780 - [c368]Wei Xia, Jing Huang, John H. L. Hansen:
Cross-lingual Text-independent Speaker Verification Using Unsupervised Adversarial Discriminative Domain Adaptation. ICASSP 2019: 5816-5820 - [c367]Chunlei Zhang, Qian Zhang, John H. L. Hansen:
Semi-supervised Learning with Generative Adversarial Networks for Arabic Dialect Identification. ICASSP 2019: 5986-5990 - [c366]Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen:
Transfer Learning Using Raw Waveform Sincnet for Robust Speaker Diarization. ICASSP 2019: 6296-6300 - [c365]Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen:
Toeplitz Inverse Covariance Based Robust Speaker Clustering for Naturalistic Audio Streams. INTERSPEECH 2019: 416-420 - [c364]John H. L. Hansen, Aditya Joglekar, Meena Chandra Shekhar, Vinay Kothapally, Chengzhu Yu, Lakshmish Kaushik, Abhijeet Sangwan:
The 2019 Inaugural Fearless Steps Challenge: A Giant Leap for Naturalistic Audio. INTERSPEECH 2019: 1851-1855 - [c363]Chelzy Belitz, Hussnain Ali, John H. L. Hansen:
A Machine Learning Based Clustering Protocol for Determining Hearing Aid Initial Configurations from Pure-Tone Audiograms. INTERSPEECH 2019: 2325-2329 - [c362]Nursadul Mamun, Ria Ghosh, John H. L. Hansen:
Quantifying Cochlear Implant Users' Ability for Speaker Identification Using CI Auditory Stimuli. INTERSPEECH 2019: 3118-3122 - [c361]Qing Wang, Pengcheng Guo, Sining Sun, Lei Xie, John H. L. Hansen:
Adversarial Regularization for End-to-End Robust Speaker Verification. INTERSPEECH 2019: 4010-4014 - [c360]Nursadul Mamun, Soheil Khorram, John H. L. Hansen:
Convolutional Neural Network-Based Speech Enhancement for Cochlear Implant Recipients. INTERSPEECH 2019: 4265-4269 - [c359]Midia Yousefi, Soheil Khorram, John H. L. Hansen:
Probabilistic Permutation Invariant Training for Speech Separation. INTERSPEECH 2019: 4604-4608 - [c358]Yongkang Liu, John H. L. Hansen:
Towards Complexity Level Classification of Driving Scenarios Using Environmental Information. ITSC 2019: 810-815 - [c357]Ekim Yurtsever, Yongkang Liu, Jacob Lambert, Chiyomi Miyajima, Eijiro Takeuchi, Kazuya Takeda, John H. L. Hansen:
Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask Transfer. ITSC 2019: 3100-3107 - [c356]Prasanna V. Kothalkar, Dwight Irvin, Ying Luo, Joanne Rojas, John Nash, Beth S. Rous, John H. L. Hansen:
Tagging child-adult interactions in naturalistic, noisy, daylong school environments using i-vector based diarization system. SLaTE 2019: 89-93 - [i19]Yang Zheng, Izzat H. Izzat, John H. L. Hansen:
Exploring OpenStreetMap Availability for Driving Environment Understanding. CoRR abs/1903.04084 (2019) - [i18]Kong Aik Lee, Ville Hautamäki, Tomi Kinnunen, Hitoshi Yamamoto, Koji Okabe, Ville Vestman, Jing Huang, Guohong Ding, Hanwu Sun, Anthony Larcher, Rohan Kumar Das, Haizhou Li, Mickael Rouvier, Pierre-Michel Bousquet, Wei Rao, Qing Wang, Chunlei Zhang, Fahimeh Bahmaninezhad, Héctor Delgado, Jose Patino, Qiongqiong Wang, Ling Guo, Takafumi Koshinaka, Jiacen Zhang, Koichi Shinoda, Trung Ngo Trong, Md. Sahidullah, Fan Lu, Yun Tang, Ming Tu, Kah Kuan Teh, Tran Huy Dat, Kuruvachan K. George, Ivan Kukanov, Florent Desnous, Jichen Yang, Emre Yilmaz, Longting Xu, Jean-François Bonastre, Chenglin Xu, Zhi Hao Lim, Eng Siong Chng, Shivesh Ranjan, John H. L. Hansen, Massimiliano Todisco, Nicholas W. D. Evans:
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences. CoRR abs/1904.07386 (2019) - [i17]Ekim Yurtsever, Yongkang Liu, Jacob Lambert, Chiyomi Miyajima, Eijiro Takeuchi, Kazuya Takeda, John H. L. Hansen:
Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask Transfer. CoRR abs/1906.02859 (2019) - [i16]Nursadul Mamun, Soheil Khorram, John H. L. Hansen:
Convolutional Neural Network-based Speech Enhancement for Cochlear Implant Recipients. CoRR abs/1907.02526 (2019) - [i15]Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen:
Toeplitz Inverse Covariance based Robust Speaker Clustering for Naturalistic Audio Streams. CoRR abs/1907.05584 (2019) - [i14]Nursadul Mamun, Ria Ghosh, John H. L. Hansen:
Quantifying Cochlear Implant Users' Ability for Speaker Identification using CI Auditory Stimuli. CoRR abs/1908.00031 (2019) - [i13]Wei Xia, Jing Huang, John H. L. Hansen:
Cross-lingual Text-independent Speaker Verification using Unsupervised Adversarial Discriminative Domain Adaptation. CoRR abs/1908.01447 (2019) - [i12]Midia Yousefi, Soheil Khorram, John H. L. Hansen:
Probabilistic Permutation Invariant Training for Speech Separation. CoRR abs/1908.01768 (2019) - [i11]Shahram Ghorbani, Soheil Khorram, John H. L. Hansen:
Domain Expansion in DNN-based Acoustic Models for Robust Speech Recognition. CoRR abs/1910.00565 (2019) - [i10]Salar Jafarlou, Soheil Khorram, Vinay Kothapally, John H. L. Hansen:
Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition. CoRR abs/1910.07047 (2019) - [i9]Fahimeh Bahmaninezhad, Shi-Xiong Zhang, Yong Xu, Meng Yu, John H. L. Hansen, Dong Yu:
A Unified Framework for Speech Separation. CoRR abs/1912.07814 (2019) - 2018
- [j135]Abhinav Misra, John H. L. Hansen:
Modelling and compensation for language mismatch in speaker verification. Speech Commun. 96: 58-66 (2018) - [j134]John H. L. Hansen, Hynek Boril:
On the issues of intra-speaker variability and realism in speech, speaker, and language recognition tasks. Speech Commun. 101: 94-108 (2018) - [j133]Lakshmish Kaushik, Abhijeet Sangwan, John H. L. Hansen:
Speech Activity Detection in Naturalistic Audio Environments: Fearless Steps Apollo Corpus. IEEE Signal Process. Lett. 25(9): 1290-1294 (2018) - [j132]Shivesh Ranjan, John H. L. Hansen:
Curriculum Learning Based Approaches for Noise Robust Speaker Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 26(1): 197-210 (2018) - [j131]Qian Zhang, John H. L. Hansen:
Language/Dialect Recognition Based on Unsupervised Deep Learning. IEEE ACM Trans. Audio Speech Lang. Process. 26(5): 873-882 (2018) - [j130]Abhinav Misra, John H. L. Hansen:
Maximum-Likelihood Linear Transformation for Unsupervised Domain Adaptation in Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 26(9): 1549-1558 (2018) - [j129]Chunlei Zhang, Kazuhito Koishida, John H. L. Hansen:
Text-Independent Speaker Verification Based on Triplet Convolutional Neural Network Embeddings. IEEE ACM Trans. Audio Speech Lang. Process. 26(9): 1633-1644 (2018) - [j128]Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen:
Leveraging Frequency-Dependent Kernel and DIP-Based Clustering for Robust Speech Activity Detection in Naturalistic Audio Streams. IEEE ACM Trans. Audio Speech Lang. Process. 26(11): 2056-2071 (2018) - [c355]Prasanna V. Kothalkar, Johanna Rudolph, Christine Dollaghan, Jennifer McGlothlin, Thomas F. Campbell, John H. L. Hansen:
Automatic Screening to Detect 'At Risk' Child Speech Samples using a Clinical Group Verification framework. EMBC 2018: 4909-4913 - [c354]Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen:
Robust Feature Clustering for Unsupervised Speech Activity Detection. ICASSP 2018: 2726-2730 - [c353]Wei Xia, John H. L. Hansen:
Speaker Recognition with Nonlinear Distortion: Clipping Analysis and Impact. INTERSPEECH 2018: 746-750 - [c352]Fahimeh Bahmaninezhad, John H. L. Hansen:
Compensation for Domain Mismatch in Text-independent Speaker Recognition. INTERSPEECH 2018: 1071-1075 - [c351]Prasanna V. Kothalkar, Johanna Rudolph, Christine Dollaghan, Jennifer McGlothlin, Thomas F. Campbell, John H. L. Hansen:
Fusing Text-dependent Word-level i-Vector Models to Screen 'at Risk' Child Speech. INTERSPEECH 2018: 1681-1685 - [c350]Ram Charan Chandra Shekar, Hussnain Ali, John H. L. Hansen:
Testing Paradigms for Assistive Hearing Devices in Diverse Acoustic Environments. INTERSPEECH 2018: 1686-1690 - [c349]Midia Yousefi, Navid Shokouhi, John H. L. Hansen:
Assessing Speaker Engagement in 2-Person Debates: Overlap Detection in United States Presidential Debates. INTERSPEECH 2018: 2117-2121 - [c348]Shahram Ghorbani, John H. L. Hansen:
Leveraging Native Language Information for Improved Accented Speech Recognition. INTERSPEECH 2018: 2449-2453 - [c347]John H. L. Hansen, Abhijeet Sangwan, Aditya Joglekar, Ahmet Emin Bulut, Lakshmish Kaushik, Chengzhu Yu:
Fearless Steps: Apollo-11 Corpus Advancements for Speech Technologies from Earth to the Moon. INTERSPEECH 2018: 2758-2762 - [c346]Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen:
Robust Speaker Clustering using Mixtures of von Mises-Fisher Distributions for Naturalistic Audio Streams. INTERSPEECH 2018: 3603-3607 - [c345]Chunlei Zhang, Shivesh Ranjan, John H. L. Hansen:
An Analysis of Transfer Learning for Domain Mismatched Text-independent Speaker Verification. Odyssey 2018: 181-186 - [c344]Fahimeh Bahmaninezhad, Chunlei Zhang, John H. L. Hansen:
Convolutional Neural Network Based Speaker De-Identification. Odyssey 2018: 255-260 - [c343]Shahram Ghorbani, Ahmet Emin Bulut, John H. L. Hansen:
Advancing Multi-Accented Lstm-CTC Speech Recognition Using a Domain Specific Student-Teacher Learning Paradigm. SLT 2018: 29-35 - [c342]Finnian Kelly, John H. L. Hansen:
Detection and Calibration of Whisper for Speaker Recognition. SLT 2018: 1060-1065 - [i8]Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen:
Robust Feature Clustering for Unsupervised Speech Activity Detection. CoRR abs/1806.09301 (2018) - [i7]Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen:
Robust Speaker Clustering using Mixtures of von Mises-Fisher Distributions for Naturalistic Audio Streams. CoRR abs/1808.06045 (2018) - 2017
- [j127]Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen:
Using speech technology for quantifying behavioral characteristics in peer-led team learning sessions. Comput. Speech Lang. 46: 343-366 (2017) - [j126]Seçkin Uluskan, Abhijeet Sangwan, John H. L. Hansen:
Phoneme class based feature adaptation for mismatch acoustic modeling and recognition of distant noisy speech. Int. J. Speech Technol. 20(4): 799-811 (2017) - [j125]Shabnam Ghaffarzadegan, Hynek Boril, John H. L. Hansen:
Deep neural network training for whispered speech recognition using small databases and generative model sampling. Int. J. Speech Technol. 20(4): 1063-1075 (2017) - [j124]Chunlei Zhang, Chengzhu Yu, John H. L. Hansen:
An Investigation of Deep-Learning Frameworks for Speaker Verification Antispoofing. IEEE J. Sel. Top. Signal Process. 11(4): 684-694 (2017) - [j123]John H. L. Hansen, Kazuya Takeda, Sanjeev M. Naik, Mohan M. Trivedi, Gerhard Uwe Schmidt, Yingying (Jennifer) Chen, Wade Trappe:
Signal Processing for Smart Vehicle Technologies: Part 2 [From the Guest Editors]. IEEE Signal Process. Mag. 34(2): 18-21 (2017) - [j122]John H. L. Hansen, Carlos Busso, Yang Zheng, Amardeep Sathyanarayana:
Driver Modeling for Detection and Assessment of Driver Distraction: Examples from the UTDrive Test Bed. IEEE Signal Process. Mag. 34(4): 130-142 (2017) - [j121]Hua Xing, John H. L. Hansen:
Single Sideband Frequency Offset Estimation and Correction for Quality Enhancement and Speaker Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 25(1): 120-132 (2017) - [j120]Dongmei Wang, Chengzhu Yu, John H. L. Hansen:
Robust Harmonic Features for Classification-Based Pitch Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 25(5): 952-964 (2017) - [j119]Navid Shokouhi, John H. L. Hansen:
Teager-Kaiser Energy Operators for Overlapped Speech Detection. IEEE ACM Trans. Audio Speech Lang. Process. 25(5): 1035-1047 (2017) - [j118]Lakshmish Kaushik, Abhijeet Sangwan, John H. L. Hansen:
Automatic Sentiment Detection in Naturalistic Audio. IEEE ACM Trans. Audio Speech Lang. Process. 25(8): 1668-1679 (2017) - [j117]Chengzhu Yu, John H. L. Hansen:
Active Learning Based Constrained Clustering For Speaker Diarization. IEEE ACM Trans. Audio Speech Lang. Process. 25(11): 2188-2198 (2017) - [j116]Yang Zheng, John H. L. Hansen:
Lane-Change Detection From Steering Signal Using Spectral Segmentation and Learning-Based Classification. IEEE Trans. Intell. Veh. 2(1): 14-24 (2017) - [c341]Ahmet Emin Bulut, Qian Zhang, Chunlei Zhang, Fahimeh Bahmaninezhad, John H. L. Hansen:
UTD-CRSS submission for MGB-3 Arabic dialect identification: Front-end and back-end advancements on broadcast speech. ASRU 2017: 360-367 - [c340]Fahimeh Bahmaninezhad, John H. L. Hansen:
i-Vector/PLDA speaker recognition using support vectors with discriminant analysis. ICASSP 2017: 5410-5414 - [c339]Maryam Najafian, John H. L. Hansen:
Environment aware speaker diarization for moving targets using parallel DNN-based recognizers. ICASSP 2017: 5450-5454 - [c338]Srinivas Parthasarathy, Chunlei Zhang, John H. L. Hansen, Carlos Busso:
A study of speaker verification performance with expressive speech. ICASSP 2017: 5540-5544 - [c337]Dongmei Wang, John H. L. Hansen:
Speech Enhancement Based on Harmonic Estimation Combined with MMSE to Improve Speech Intelligibility for Cochlear Implant Recipients. INTERSPEECH 2017: 186-190 - [c336]Seyedmahdad Mirsamadi, John H. L. Hansen:
On Multi-Domain Training and Adaptation of End-to-End RNN Acoustic Models for Distant Speech Recognition. INTERSPEECH 2017: 404-408 - [c335]Shivesh Ranjan, John H. L. Hansen:
Improved Gender Independent Speaker Recognition Using Convolutional Neural Network Based Bottleneck Features. INTERSPEECH 2017: 1009-1013 - [c334]Kong-Aik Lee, Ville Hautamäki, Tomi Kinnunen, Anthony Larcher, Chunlei Zhang, Andreas Nautsch, Themos Stafylakis, Gang Liu, Mickaël Rouvier, Wei Rao, Federico Alegre, J. Ma, Man-Wai Mak, Achintya Kumar Sarkar, Héctor Delgado, Rahim Saeidi, Hagai Aronowitz, Aleksandr Sizov, Hanwu Sun, Trung Hieu Nguyen, Guangsen Wang, Bin Ma, Ville Vestman, Md. Sahidullah, M. Halonen, Anssi Kanervisto, Gaël Le Lan, Fahimeh Bahmaninezhad, Sergey Isadskiy, Christian Rathgeb, Christoph Busch, Georgios Tzimiropoulos, Q. Qian, Z. Wang, Q. Zhao, T. Wang, H. Li, J. Xue, S. Zhu, R. Jin, T. Zhao, Pierre-Michel Bousquet, Moez Ajili, Waad Ben Kheder, Driss Matrouf, Zhi Hao Lim, Chenglin Xu, Haihua Xu, Xiong Xiao, Eng Siong Chng, Benoit G. B. Fauve, Kaavya Sriskandaraja, Vidhyasaharan Sethu, W. W. Lin, Dennis Alexander Lehmann Thomsen, Zheng-Hua Tan, Massimiliano Todisco, Nicholas W. D. Evans, Haizhou Li, John H. L. Hansen, Jean-François Bonastre, Eliathamby Ambikairajah:
The I4U Mega Fusion and Collaboration for NIST Speaker Recognition Evaluation 2016. INTERSPEECH 2017: 1328-1332 - [c333]Chunlei Zhang, Fahimeh Bahmaninezhad, Shivesh Ranjan, Chengzhu Yu, Navid Shokouhi, John H. L. Hansen:
UTD-CRSS Systems for 2016 NIST Speaker Recognition Evaluation. INTERSPEECH 2017: 1343-1347 - [c332]Vinay Kothapally, John H. L. Hansen:
Speech Detection and Enhancement Using Single Microphone for Distant Speech Applications in Reverberant Environments. INTERSPEECH 2017: 1948-1952 - [c331]Qian Zhang, John H. L. Hansen:
Dialect Recognition Based on Unsupervised Bottleneck Features. INTERSPEECH 2017: 2576-2580 - [c330]Lakshmish Kaushik, Abhijeet Sangwan, John H. L. Hansen:
Multi-Channel Apollo Mission Speech Transcripts Calibration. INTERSPEECH 2017: 2799-2803 - [c329]Abhinav Misra, Shivesh Ranjan, John H. L. Hansen:
Locally Weighted Linear Discriminant Analysis for Robust Speaker Verification. INTERSPEECH 2017: 2864-2868 - [c328]Rakib Hyder, Shabnam Ghaffarzadegan, Zhe Feng, John H. L. Hansen, Taufiq Hasan:
Acoustic Scene Classification Using a CNN-SuperVector System Trained with Auditory and Spectrogram Image Features. INTERSPEECH 2017: 3073-3077 - [c327]Shivesh Ranjan, Abhinav Misra, John H. L. Hansen:
Curriculum Learning Based Probabilistic Linear Discriminant Analysis for Noise Robust Speaker Recognition. INTERSPEECH 2017: 3717-3721 - [c326]Yang Zheng, Yongkang Liu, John H. L. Hansen:
Intent detection and semantic parsing for navigation dialogue language processing. ITSC 2017: 1-6 - [c325]Yang Zheng, Yongkang Liu, John H. L. Hansen:
Navigation-orientated natural spoken language understanding for intelligent vehicle dialogue. Intelligent Vehicles Symposium 2017: 559-564 - [c324]Mangona Bokshi, Fei Tao, Carlos Busso, John H. L. Hansen:
Assessment and classification of singing quality based on audio-visual features. VCIP 2017: 1-4 - [p3]Vikramjit Mitra, Horacio Franco, Richard M. Stern, Julien van Hout, Luciana Ferrer, Martin Graciarena, Wen Wang, Dimitra Vergyri, Abeer Alwan, John H. L. Hansen:
Robust Features in Deep-Learning-Based Speech Recognition. New Era for Robust Speech Recognition, Exploiting Deep Learning 2017: 187-217 - [i6]Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen:
Using Speech Technology for Quantifying Behavioral Characteristics in Peer-Led Team Learning Sessions. CoRR abs/1704.07274 (2017) - [i5]Ahmet Emin Bulut, Qian Zhang, Chunlei Zhang, Fahimeh Bahmaninezhad, John H. L. Hansen:
UTD-CRSS Submission for MGB-3 Arabic Dialect Identification: Front-end and Back-end Advancements on Broadcast Speech. CoRR abs/1710.00113 (2017) - 2016
- [j115]John H. L. Hansen, Gang Liu:
Unsupervised accent classification for deep data fusion of accent and language information. Speech Commun. 78: 19-33 (2016) - [j114]Ali Ziaei, Abhijeet Sangwan, John H. L. Hansen:
Effective word count estimation for long duration daily naturalistic audio recordings. Speech Commun. 84: 15-23 (2016) - [j113]Soudeh A. Khoubrouy, John H. L. Hansen:
Microphone Array Processing Strategies for Distant-Based Automatic Speech Recognition. IEEE Signal Process. Lett. 23(10): 1344-1348 (2016) - [j112]John H. L. Hansen, Kazuya Takeda, Sanjeev M. Naik, Mohan M. Trivedi, Gerhard Uwe Schmidt, Yingying (Jennifer) Chen:
Signal Processing for Smart Vehicle Technologies [From the Guest Editors]. IEEE Signal Process. Mag. 33(6): 12-13 (2016) - [j111]Fuliang Weng, Pongtep Angkititrakul, Elizabeth Shriberg, Larry P. Heck, Stanley Peters, John H. L. Hansen:
Conversational In-Vehicle Dialog Systems: The past, present, and future. IEEE Signal Process. Mag. 33(6): 49-60 (2016) - [j110]Shabnam Ghaffarzadegan, Hynek Boril, John H. L. Hansen:
Generative Modeling of Pseudo-Whisper for Robust Whispered Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 24(10): 1705-1720 (2016) - [j109]Seyedmahdad Mirsamadi, John H. L. Hansen:
A Generalized Nonnegative Tensor Factorization Approach for Distant Speech Recognition With Distributed Microphones. IEEE ACM Trans. Audio Speech Lang. Process. 24(10): 1721-1731 (2016) - [j108]Finnian Kelly, John H. L. Hansen:
Score-Aging Calibration for Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 24(12): 2414-2424 (2016) - [c323]Douglas W. Oard, John H. L. Hansen, Abhijeet Sangwan, Bryan Toth, Lakshmish Kaushik, Chengzhu Yu:
Toward Access to Multi-Perspective Archival Spoken Word Content. ICADL 2016: 77-82 - [c322]Chunlei Zhang, Shivesh Ranjan, Mahesh Kumar Nandwana, Qian Zhang, Abhinav Misra, Gang Liu, Finnian Kelly, John H. L. Hansen:
Joint information from nonlinear and linear features for spoofing detection: An i-vector/DNN based approach. ICASSP 2016: 5035-5039 - [c321]Shivesh Ranjan, Chengzhu Yu, Chunlei Zhang, Finnian Kelly, John H. L. Hansen:
Language recognition using deep neural networks with very limited training data. ICASSP 2016: 5830-5834 - [c320]Chengzhu Yu, Chunlei Zhang, Shivesh Ranjan, Qian Zhang, Abhinav Misra, Finnian Kelly, John H. L. Hansen:
UTD-CRSS system for the NIST 2015 language recognition i-vector machine learning challenge. ICASSP 2016: 5835-5839 - [c319]Dongmei Wang, John H. L. Hansen:
F0 estimation for noisy speech by exploring temporal harmonic structures in local time frequency spectrum segment. ICASSP 2016: 6510-6514 - [c318]Chengzhu Yu, Chunlei Zhang, Finnian Kelly, Abhijeet Sangwan, John H. L. Hansen:
Text-Available Speaker Recognition System for Forensic Applications. INTERSPEECH 2016: 1844-1847 - [c317]Fei Tao, John H. L. Hansen, Carlos Busso:
Improving Boundary Estimation in Audiovisual Speech Activity Detection Using Bayesian Information Criterion. INTERSPEECH 2016: 2130-2134 - [c316]Harishchandra Dubey, Lakshmish Kaushik, Abhijeet Sangwan, John H. L. Hansen:
A Speaker Diarization System for Studying Peer-Led Team Learning Groups. INTERSPEECH 2016: 2180-2184 - [c315]John H. L. Hansen, Hynek Boril:
Robustness in Speech, Speaker, and Language Recognition: "You've Got to Know Your Limitations". INTERSPEECH 2016: 2766-2770 - [c314]Fahimeh Bahmaninezhad, John H. L. Hansen:
Generalized Discriminant Analysis (GDA) for Improved i-Vector Based Speaker Recognition. INTERSPEECH 2016: 3643-3647 - [c313]Vikramjit Mitra, Julien van Hout, Wen Wang, Chris Bartels, Horacio Franco, Dimitra Vergyri, Abeer Alwan, Adam Janin, John H. L. Hansen, Richard M. Stern, Abhijeet Sangwan, Nelson Morgan:
Fusion Strategies for Robust Speech Recognition and Keyword Spotting for Channel- and Noise-Degraded Speech. INTERSPEECH 2016: 3683-3687 - [c312]Dayana Ribas, Emmanuel Vincent, John H. L. Hansen, Emma Jokinen, Mirco Ravanelli, Hannes Gamper, Fred Richardson:
Discussion. INTERSPEECH 2016 - [c311]Yang Zheng, John H. L. Hansen:
Unsupervised driving performance assessment using free-positioned smartphones in vehicles. ITSC 2016: 1598-1603 - [c310]Maryam Najafian, Saeid Safavi, John H. L. Hansen, Martin J. Russell:
Improving speech recognition using limited accent diverse British English training data with deep neural networks. MLSP 2016: 1-6 - [c309]Muhammad Muneeb Saleem, John H. L. Hansen:
A discriminative unsupervised method for speaker recognition using deep learning. MLSP 2016: 1-5 - [c308]Abhinav Misra, Qian Zhang, Finnian Kelly, John H. L. Hansen:
Between-Class Covariance Correction For Linear Discriminant Analysis in Language Recognition. Odyssey 2016: 68-73 - [c307]Maryam Najafian, John H. L. Hansen:
Speaker independent diarization for child language environment analysis using deep neural networks. SLT 2016: 114-120 - [c306]Finnian Kelly, John H. L. Hansen:
Evaluation and calibration of Lombard effects in speaker verification. SLT 2016: 205-209 - [c305]Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen:
A robust diarization system for measuring dominance in Peer-Led Team Learning groups. SLT 2016: 319-323 - [c304]Qian Zhang, John H. L. Hansen:
Unsupervised k-means clustering based out-of-set candidate selection for robust open-set language recognition. SLT 2016: 324-329 - [c303]Maryam Najafian, Dwight Irvin, Ying Luo, Beth S. Rous, John H. L. Hansen:
Employing speech and location information for automatic assessment of child language environments. SPLINE 2016: 1-5 - [c302]Maryam Najafian, Dwight Irvin, Ying Luo, Beth S. Rous, John H. L. Hansen:
Automatic measurement and analysis of the child verbal communication using classroom acoustics within a child care center. WOCCI 2016: 56-61 - [i4]Harishchandra Dubey, Lakshmish Kaushik, Abhijeet Sangwan, John H. L. Hansen:
A Speaker Diarization System for Studying Peer-Led Team Learning Groups. CoRR abs/1606.07136 (2016) - [i3]Suwon Shon, Seongkyu Mun, John H. L. Hansen, Hanseok Ko:
KU-ISPL Language Recognition System for NIST 2015 i-Vector Machine Learning Challenge. CoRR abs/1609.06404 (2016) - [i2]Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen:
A Robust Diarization System for Measuring Dominance in Peer-Led Team Learning Groups. CoRR abs/1609.08211 (2016) - [i1]Chunlei Zhang, Fahimeh Bahmaninezhad, Shivesh Ranjan, Chengzhu Yu, Navid Shokouhi, John H. L. Hansen:
UTD-CRSS Systems for 2016 NIST Speaker Recognition Evaluation. CoRR abs/1610.07651 (2016) - 2015
- [j107]Keith W. Godin, John H. L. Hansen:
Physical task stress and speaker variability in voice quality. EURASIP J. Audio Speech Music. Process. 2015: 29 (2015) - [j106]Mahnoosh Mehrabani, John H. L. Hansen:
Automatic analysis of dialect/language sets. Int. J. Speech Technol. 18(3): 277-286 (2015) - [j105]Chi Zhang, John H. L. Hansen:
An advanced entropy-based feature with a frame-level vocal effort likelihood space modeling for distant whisper-island detection. Speech Commun. 66: 107-117 (2015) - [j104]Seyed Omid Sadjadi, John H. L. Hansen:
Mean Hilbert envelope coefficients (MHEC) for robust speaker and language identification. Speech Commun. 72: 138-148 (2015) - [j103]Wooil Kim, John H. L. Hansen:
Advanced parallel combined Gaussian mixture model based feature compensation integrated with iterative channel estimation. Speech Commun. 73: 81-93 (2015) - [j102]Nima Yousefian, John H. L. Hansen, Philipos C. Loizou:
A Hybrid Coherence Model for Noise Reduction in Reverberant Environments. IEEE Signal Process. Lett. 22(3): 274-277 (2015) - [j101]John H. L. Hansen, Taufiq Hasan:
Speaker Recognition by Machines and Humans: A tutorial review. IEEE Signal Process. Mag. 32(6): 74-99 (2015) - [j100]Soudeh A. Khoubrouy, Issa M. S. Panahi, John H. L. Hansen:
Howling Detection in Hearing Aids Based on Generalized Teager-Kaiser Operator. IEEE ACM Trans. Audio Speech Lang. Process. 23(1): 154-161 (2015) - [c301]Shivesh Ranjan, Gang Liu, John H. L. Hansen:
An i-Vector PLDA based gender identification approach for severely distorted and multilingual DARPA RATS data. ASRU 2015: 331-337 - [c300]A. Sangwan, John H. L. Hansen, Dwight W. Irvin, S. Crutchfield, C. R. Greenwood:
Studying the relationship between physical and language environments of children: Who's speaking to whom and where? SP/SPE 2015: 49-54 - [c299]Juliana N. Saba, Son Ta, Tuan Nguyen, Cory Chilson, Jaewook Lee, Hussnain Ali, John H. L. Hansen:
Developing an educational electro-mechanical model of the middle ear and impulse noise reduction algorithm for cochlear implant users. SP/SPE 2015: 83-88 - [c298]Mahesh Kumar Nandwana, Ali Ziaei, John H. L. Hansen:
Robust unsupervised detection of human screams in noisy acoustic environments. ICASSP 2015: 161-165 - [c297]Muhammad Muneeb Saleem, Gang Liu, John H. L. Hansen:
Weighted training for speech under Lombard Effect for speaker recognition. ICASSP 2015: 4350-4354 - [c296]Ali Ziaei, Abhijeet Sangwan, Lakshmish Kaushik, John H. L. Hansen:
Prof-Life-Log: Analysis and classification of activities in daily audio streams. ICASSP 2015: 4719-4723 - [c295]Navid Shokouhi, Ali Ziaei, Abhijeet Sangwan, John H. L. Hansen:
Robust overlapped speech detection and its application in word-count estimation for Prof-Life-Log data. ICASSP 2015: 4724-4728 - [c294]Shabnam Ghaffarzadegan, Hynek Boril, John H. L. Hansen:
Generative modeling of pseudo-target domain adaptation samples for whispered speech recognition. ICASSP 2015: 5024-5028 - [c293]Oldooz Hazrati Yadkoori, Shabnam Ghaffarzadegan, John H. L. Hansen:
Leveraging automatic speech recognition in cochlear implants for improved speech intelligibility under reverberation. ICASSP 2015: 5093-5097 - [c292]Jaewook Lee, Hussnain Ali, Ali Ziaei, John H. L. Hansen:
Analysis of speech and language communication for cochlear implant users in noisy lombard conditions. ICASSP 2015: 5132-5136 - [c291]Hussnain Ali, Jack H. Noble, René H. Gifford, Robert F. Labadie, Benoit M. Dawant, John H. L. Hansen, Emily Tobey:
Image-guided customization of frequency-place mapping in cochlear implants. ICASSP 2015: 5843-5847 - [c290]Finnian Kelly, John H. L. Hansen:
Evaluation and calibration of short-term aging effects in speaker verification. INTERSPEECH 2015: 224-228 - [c289]Hua Xing, Gang Liu, John H. L. Hansen:
Frequency offset correction in single sideband (SSB) speech by deep neural network for speaker verification. INTERSPEECH 2015: 1156-1160 - [c288]Mahesh Kumar Nandwana, Hynek Boril, John H. L. Hansen:
A new front-end for classification of non-speech sounds: a study on human whistle. INTERSPEECH 2015: 1982-1986 - [c287]Fei Tao, John H. L. Hansen, Carlos Busso:
An unsupervised visual-only voice activity detection approach using temporal orofacial features. INTERSPEECH 2015: 2302-2306 - [c286]Seyedmahdad Mirsamadi, John H. L. Hansen:
A study on deep neural network acoustic model adaptation for robust far-field speech recognition. INTERSPEECH 2015: 2430-2434 - [c285]Lakshmish Kaushik, Abhijeet Sangwan, John H. L. Hansen:
Laughter and filler detection in naturalistic audio. INTERSPEECH 2015: 2509-2513 - [c284]Chunlei Zhang, Gang Liu, Chengzhu Yu, John H. L. Hansen:
I-vector based physical task stress detection with different fusion strategies. INTERSPEECH 2015: 2689-2693 - [c283]Lakshmish Kaushik, Abhijeet Sangwan, John H. L. Hansen:
Automatic audio sentiment extraction using keyword spotting. INTERSPEECH 2015: 2709-2713 - [c282]Chengzhu Yu, Atsunori Ogawa, Marc Delcroix, Takuya Yoshioka, Tomohiro Nakatani, John H. L. Hansen:
Robust i-vector extraction for neural network adaptation in noisy environment. INTERSPEECH 2015: 2854-2857 - [c281]Navid Shokouhi, John H. L. Hansen:
Probabilistic linear discriminant analysis for robust speaker identification in co-channel speech. INTERSPEECH 2015: 3016-3020 - [c280]Abhinav Misra, Shivesh Ranjan, Chunlei Zhang, John H. L. Hansen:
Anti-spoofing system: an investigation of measures to detect synthetic and human speech. INTERSPEECH 2015: 3466-3470 - [c279]Yang Zheng, Xian Shi, Amardeep Sathyanarayana, Navid Shokouhi, John H. L. Hansen:
In-vehicle speech recognition and tutorial keywords spotting for novice drivers' performance evaluation. Intelligent Vehicles Symposium 2015: 168-173 - [c278]Dongmei Wang, John H. L. Hansen, Emily Tobey:
F0 estimation for noisy speech based on exploring local time-frequency segment. WASPAA 2015: 1-5 - 2014
- [j99]Nitish Krishnamurthy, John H. L. Hansen:
Car noise verification and applications. Int. J. Speech Technol. 17(2): 167-181 (2014) - [j98]John H. L. Hansen, Jun-Won Suh, Pongtep Angkititrakul, Yun Lei:
Effective background data selection for SVM-based speaker recognition with unseen test environments: more is not always better. Int. J. Speech Technol. 17(3): 211-221 (2014) - [j97]John H. L. Hansen, Abhishek Kumar, Pongtep Angkititrakul:
Environment mismatch compensation using average eigenspace-based methods for robust speech recognition. Int. J. Speech Technol. 17(4): 353-364 (2014) - [j96]Nima Yousefian, Philipos C. Loizou, John H. L. Hansen:
A coherence-based noise reduction algorithm for binaural hearing aids. Speech Commun. 58: 101-110 (2014) - [j95]Taufiq Hasan, John H. L. Hansen:
Maximum Likelihood Acoustic Factor Analysis Models for Robust Speaker Verification in Noise. IEEE ACM Trans. Audio Speech Lang. Process. 22(2): 381-391 (2014) - [j94]Seyed Omid Sadjadi, John H. L. Hansen:
Blind Spectral Weighting for Robust Speaker Identification under Reverberation Mismatch. IEEE ACM Trans. Audio Speech Lang. Process. 22(5): 935-943 (2014) - [j93]Gang Liu, John H. L. Hansen:
An investigation into back-end advancements for speaker recognition in multi-session and noisy enrollment scenarios. IEEE ACM Trans. Audio Speech Lang. Process. 22(12): 1978-1992 (2014) - [c277]Oldooz Hazrati Yadkoori, Seyed Omid Sadjadi, John H. L. Hansen:
Robust and efficient environment detection for adaptive speech enhancement in cochlear implants. ICASSP 2014: 900-904 - [c276]Hussnain Ali, Feng Hong, John H. L. Hansen, Emily Tobey:
Improving channel selection of sound coding algorithms in cochlear implants. ICASSP 2014: 905-909 - [c275]Shabnam Ghaffarzadegan, Hynek Boril, John H. L. Hansen:
UT-Vocal Effort II: Analysis and constrained-lexicon recognition of whispered speech. ICASSP 2014: 2544-2548 - [c274]Chengzhu Yu, Gang Liu, Seongjun Hahm, John H. L. Hansen:
Uncertainty propagation in front end factor analysis for noise robust speaker recognition. ICASSP 2014: 4017-4021 - [c273]Hua Xing, Philipos C. Loizou, John H. L. Hansen:
Frequency offset correction in single sideband speech for speaker verification. ICASSP 2014: 4022-4026 - [c272]Dongmei Wang, James M. Kates, John H. L. Hansen:
Investigation of the relative perceptual importance of temporal envelope and temporal fine structure between tonal and non-tonal languages. INTERSPEECH 2014: 495-498 - [c271]Ali Ziaei, Abhijeet Sangwan, John H. L. Hansen:
A speech system for estimating daily word counts. INTERSPEECH 2014: 880-884 - [c270]Chengzhu Yu, John H. L. Hansen, Douglas W. Oard:
'houston, we have a solution': a case study of the analysis of astronaut speech during NASA apollo 11 for long-term speaker modeling. INTERSPEECH 2014: 945-948 - [c269]Ali Ziaei, Lakshmish Kaushik, Abhijeet Sangwan, John H. L. Hansen, Douglas W. Oard:
Speech activity detection for NASA apollo space missions: challenges and solutions. INTERSPEECH 2014: 1544-1548 - [c268]Chengzhu Yu, Gang Liu, John H. L. Hansen:
Acoustic feature transformation using UBM-based LDA for speaker recognition. INTERSPEECH 2014: 1851-1854 - [c267]Dongmei Wang, Philipos C. Loizou, John H. L. Hansen:
Noisy speech enhancement based on long term harmonic model to improve speech intelligibility for hearing impaired listeners. INTERSPEECH 2014: 2059-2062 - [c266]Mahesh Kumar Nandwana, John H. L. Hansen:
Analysis and identification of human scream: implications for speaker recognition. INTERSPEECH 2014: 2253-2257 - [c265]Dongmei Wang, Philipos C. Loizou, John H. L. Hansen:
F0 estimation in noisy speech based on long-term harmonic feature analysis combined with neural network classification. INTERSPEECH 2014: 2258-2262 - [c264]Navid Shokouhi, Seyed Omid Sadjadi, John H. L. Hansen:
Co-channel speech detection via spectral analysis of frequency modulated sub-bands. INTERSPEECH 2014: 2380-2384 - [c263]Shabnam Ghaffarzadegan, Hynek Boril, John H. L. Hansen:
Model and feature based compensation for whispered speech recognition. INTERSPEECH 2014: 2420-2424 - [c262]Seyedmahdad Mirsamadi, John H. L. Hansen:
Multichannel speech dereverberation based on convolutive nonnegative tensor factorization for ASR applications. INTERSPEECH 2014: 2828-2832 - [c261]Yang Zheng, Amardeep Sathyanarayana, John H. L. Hansen:
Threshold based decision-tree for automatic driving maneuver recognition using CAN-Bus signal. ITSC 2014: 2834-2839 - [c260]Gang Liu, John H. L. Hansen:
Supra-Segmental Feature Based Speaker Trait Detection. Odyssey 2014: 94-99 - [c259]Gang Liu, John H. L. Hansen, Chengzhu Yu, Abhinav Misra, Navid Shokouhi:
Investigating State-of-the-Art Speaker Verification in the case of Unlabeled Development Data. Odyssey 2014: 118-122 - [c258]Gang Liu, Qian Zhang, John H. L. Hansen:
Robust Language Recognition Based on Diverse Features. Odyssey 2014: 152-157 - [c257]Abhinav Misra, John H. L. Hansen:
Spoken language mismatch in speaker verification: An investigation with NIST-SRE and CRSS Bi-Ling corpora. SLT 2014: 372-377 - [c256]Qian Zhang, John H. L. Hansen:
Training candidate selection for effective rejection in open-set language identification. SLT 2014: 384-389 - [c255]Gang Liu, Chengzhu Yu, Navid Shokouhi, Abhinav Misra, Hua Xing, John H. L. Hansen:
Utilization of unlabeled development data for speaker verification. SLT 2014: 418-423 - [c254]Seyedmahdad Mirsamadi, John H. L. Hansen:
Multichannel feature enhancement in distributed microphone arrays for robust distant speech recognition in smart rooms. SLT 2014: 507-512 - [c253]Hynek Boril, Qian Zhang, Ali Ziaei, John H. L. Hansen, Dongxin Xu, Jill Gilkerson, Jeffrey A. Richards, Yiwen Zhang, Xiaojuan Xu, Hongmei Mao, Lei Xiao, Fan Jiang:
Automatic assessment of language background in toddlers through phonotactic and pitch pattern modeling of short vocalizations. WOCCI 2014: 39-43 - [p2]Amardeep Sathyanarayana, Pinar Boyraz, John H. L. Hansen:
Effects of Multitasking on Drivability Through CAN-Bus Analysis. Smart Mobile In-Vehicle Systems 2014: 169-182 - [e2]Gerhard Uwe Schmidt, Hüseyin Abut, Kazuya Takeda, John H. L. Hansen:
Smart Mobile In-Vehicle Systems, Next Generation Advancements. Springer 2014, ISBN 978-1-4614-9119-4 [contents] - 2013
- [j92]Yongjoo Chung, John H. L. Hansen:
Compensation of SNR and noise type mismatch using an environmental sniffing based speech recognition solution. EURASIP J. Audio Speech Music. Process. 2013: 12 (2013) - [j91]Taufiq Hasan, Hynek Boril, Abhijeet Sangwan, John H. L. Hansen:
Multi-modal highlight generation for sports videos using an information-theoretic excitability measure. EURASIP J. Adv. Signal Process. 2013: 173 (2013) - [j90]Nitish Krishnamurthy, John H. L. Hansen:
Environment dependent noise tracking for speech enhancement. Int. J. Speech Technol. 16(3): 303-312 (2013) - [j89]Xing Fan, John H. L. Hansen:
Acoustic analysis and feature transformation from neutral to whisper for speaker identification within whispered speech audio streams. Speech Commun. 55(1): 119-134 (2013) - [j88]Mahnoosh Mehrabani, John H. L. Hansen:
Singing speaker clustering based on subspace learning in the GMM mean supervector space. Speech Commun. 55(5): 653-666 (2013) - [j87]John H. L. Hansen, Jun-Won Suh, Matthew R. Leonard:
In-set/out-of-set speaker recognition in sustained acoustic scenarios using sparse data. Speech Commun. 55(6): 769-781 (2013) - [j86]Seyed Omid Sadjadi, John H. L. Hansen:
Unsupervised Speech Activity Detection Using Voicing Measures and Perceptual Spectral Flux. IEEE Signal Process. Lett. 20(3): 197-200 (2013) - [j85]Taufiq Hasan, John H. L. Hansen:
Acoustic Factor Analysis for Robust Speaker Verification. IEEE Trans. Speech Audio Process. 21(4): 842-853 (2013) - [j84]Freddy William, Abhijeet Sangwan, John H. L. Hansen:
Automatic Accent Assessment Using Phonetic Mismatch and Human Perception. IEEE Trans. Speech Audio Process. 21(9): 1818-1829 (2013) - [c252]Lakshmish Kaushik, Abhijeet Sangwan, John H. L. Hansen:
Automatic sentiment extraction from YouTube videos. ASRU 2013: 239-244 - [c251]Navid Shokouhi, Amardeep Sathyanarayana, Seyed Omid Sadjadi, John H. L. Hansen:
Overlapped-speech detection with applications to driver assessment for in-vehicle active safety systems. ICASSP 2013: 2834-2838 - [c250]Taufiq Hasan, Seyed Omid Sadjadi, Gang Liu, Navid Shokouhi, Hynek Boril, John H. L. Hansen:
CRSS systems for 2012 NIST Speaker Recognition Evaluation. ICASSP 2013: 6783-6787 - [c249]Chengzhu Yu, Kamil K. Wójcicki, Philipos C. Loizou, John H. L. Hansen:
A new mask-based objective measure for predicting the intelligibility of binary masked speech. ICASSP 2013: 7030-7033 - [c248]Wooil Kim, John H. L. Hansen:
An advanced feature compensation method employing acoustic model with phonetically constrained structure. ICASSP 2013: 7083-7086 - [c247]Seyed Omid Sadjadi, John H. L. Hansen:
Robust front-end processing for speaker identification over extremely degraded communication channels. ICASSP 2013: 7214-7218 - [c246]Qian Zhang, Hynek Boril, John H. L. Hansen:
Supervector pre-processing for PRSVM-based Chinese and Arabic dialect identification. ICASSP 2013: 7363-7367 - [c245]Keri A. Williams, John H. L. Hansen:
Speaker height estimation combining GMM and linear regression subsystems. ICASSP 2013: 7552-7556 - [c244]Taufiq Hasan, Rahim Saeidi, John H. L. Hansen, David A. van Leeuwen:
Duration mismatch compensation for i-vector based speaker recognition systems. ICASSP 2013: 7663-7667 - [c243]Gang Liu, Taufiq Hasan, Hynek Boril, John H. L. Hansen:
An investigation on back-end for speaker recognition in multi-session enrollment. ICASSP 2013: 7755-7759 - [c242]Ali Ziaei, Abhijeet Sangwan, John H. L. Hansen:
Prof-Life-Log: Personal interaction analysis for naturalistic audio streams. ICASSP 2013: 7770-7774 - [c241]Lakshmish Kaushik, Abhijeet Sangwan, John H. L. Hansen:
Sentiment extraction from natural audio streams. ICASSP 2013: 8485-8489 - [c240]Martin Graciarena, Abeer Alwan, Dan Ellis, Horacio Franco, Luciana Ferrer, John H. L. Hansen, Adam Janin, Byung Suk Lee, Yun Lei, Vikramjit Mitra, Nelson Morgan, Seyed Omid Sadjadi, T. J. Tsai, Nicolas Scheffer, Lee Ngee Tan, Benjamin Williams:
All for one: feature combination for highly channel-degraded speech activity detection. INTERSPEECH 2013: 709-713 - [c239]Abhijeet Sangwan, Lakshmish Kaushik, Chengzhu Yu, John H. L. Hansen, Douglas W. Oard:
'houston, we have a solution': using NASA apollo program to advance speech and language processing technology. INTERSPEECH 2013: 1135-1139 - [c238]Ville Hautamäki, Kong-Aik Lee, David A. van Leeuwen, Rahim Saeidi, Anthony Larcher, Tomi Kinnunen, Taufiq Hasan, Seyed Omid Sadjadi, Gang Liu, Hynek Boril, John H. L. Hansen, Benoit G. B. Fauve:
Automatic regularization of cross-entropy cost for speaker recognition fusion. INTERSPEECH 2013: 1609-1613 - [c237]Rahim Saeidi, Kong-Aik Lee, Tomi Kinnunen, Tawfik Hasan, Benoit G. B. Fauve, Pierre-Michel Bousquet, Elie Khoury, Pablo Luis Sordo Martinez, Jia Min Karen Kua, Changhuai You, Hanwu Sun, Anthony Larcher, Padmanabhan Rajan, Ville Hautamäki, Cemal Hanilçi, Billy Braithwaite, Rosa González Hautamäki, Seyed Omid Sadjadi, Gang Liu, Hynek Boril, Navid Shokouhi, Driss Matrouf, Laurent El Shafey, Pejman Mowlaee, Julien Epps, Tharmarajah Thiruvaran, David A. van Leeuwen, Bin Ma, Haizhou Li, John H. L. Hansen, Jean-François Bonastre, Sébastien Marcel, John S. D. Mason, Eliathamby Ambikairajah:
I4u submission to NIST SRE 2012: a large-scale collaborative effort for noise-robust speaker verification. INTERSPEECH 2013: 1986-1990 - [c236]Hynek Boril, Qian Zhang, Pongtep Angkititrakul, John H. L. Hansen, Dongxin Xu, Jill Gilkerson, Jeffrey A. Richards:
A preliminary study of child vocalization on a parallel corpus of US and shanghainese toddlers. INTERSPEECH 2013: 2405-2409 - [c235]Mahnoosh Mehrabani, John H. L. Hansen:
Dimensionality analysis of singing speech based on locality preserving projections. INTERSPEECH 2013: 2910-2914 - [c234]Taufiq Hasan, John H. L. Hansen:
Acoustic factor analysis based universal background model for robust speaker verification in noise. INTERSPEECH 2013: 3127-3131 - [c233]Keith W. Godin, Seyed Omid Sadjadi, John H. L. Hansen:
Impact of noise reduction and spectrum estimation on noise robust speaker identification. INTERSPEECH 2013: 3656-3660 - [c232]Amardeep Sathyanarayana, Navid Shokouhi, Seyed Omid Sadjadi, John H. L. Hansen:
Belt Up: Investigating the impact of in-vehicular conversation on driving performance. Intelligent Vehicles Symposium 2013: 1071-1076 - [c231]Joseph Malionek, Douglas W. Oard, Abhijeet Sangwan, John H. L. Hansen:
Linking transcribed conversational speech. SIGIR 2013: 961-964 - 2012
- [j83]John H. L. Hansen, Evan Ruzanski, Hynek Boril, James Meyerhoff:
TEO-based speaker stress assessment using hybrid classification and tracking schemes. Int. J. Speech Technol. 15(3): 295-311 (2012) - [j82]Abhijeet Sangwan, John H. L. Hansen:
Automatic analysis of Mandarin accented English using phonological features. Speech Commun. 54(1): 40-54 (2012) - [j81]Junlan Feng, Bhuvana Ramabhadran, John H. L. Hansen, Jason D. Williams:
Trends in Speech and Language Processing [In the Spotlight]. IEEE Signal Process. Mag. 29(1): 177-179 (2012) - [j80]Amit Das, John H. L. Hansen:
Constrained Iterative Speech Enhancement Using Phonetic Classes. IEEE Trans. Speech Audio Process. 20(6): 1869-1883 (2012) - [j79]Amit Das, John H. L. Hansen:
Phoneme Selective Speech Enhancement Using Parametric Estimators and the Mixture Maximum Model: A Unifying Approach. IEEE Trans. Speech Audio Process. 20(8): 2265-2279 (2012) - [c230]Amardeep Sathyanarayana, Seyed Omid Sadjadi, John H. L. Hansen:
Leveraging speech-active regions towards active safety in vehicles. ESPA 2012: 48-51 - [c229]Amriteshwar Singh, Abhijeet Sangwan, John H. L. Hansen:
Improved parcel sorting by combining automatic speech and character recognition. ESPA 2012: 52-55 - [c228]Taufiq Hasan, Hynek Boril, Abhijeet Sangwan, John H. L. Hansen:
A multi-modal highlight extraction scheme for sports videos using an information-theoretic excitability measure. ICASSP 2012: 2381-2384 - [c227]Wooil Kim, John H. L. Hansen:
Feature compensation employing online GMM adaptation for speech recognition in unknown severely adverse environments. ICASSP 2012: 4121-4124 - [c226]Seyed Omid Sadjadi, John H. L. Hansen:
Blind reverberation mitigation for robust speaker identification. ICASSP 2012: 4225-4228 - [c225]Gang Liu, Yun Lei, John H. L. Hansen:
Robust feature front-end for speaker identification. ICASSP 2012: 4233-4236 - [c224]Seyed Omid Sadjadi, Hynek Boril, John H. L. Hansen:
A comparison of front-end compensation strategies for robust LVCSR under room reverberation and increased vocal effort. ICASSP 2012: 4701-4704 - [c223]Gang Liu, Jun-Won Suh, John H. L. Hansen:
A fast speaker verification with universal background support data selection. ICASSP 2012: 4793-4796 - [c222]Abhijeet Sangwan, Ali Ziaei, John H. L. Hansen:
ProfLifeLog: Environmental analysis and keyword recognition for naturalistic daily audio streams. ICASSP 2012: 4941-4944 - [c221]Hynek Boril, Abhijeet Sangwan, John H. L. Hansen:
Arabic Dialect Identification - 'Is the Secret in the Silence?' and Other Observations. INTERSPEECH 2012: 30-33 - [c220]Taufiq Hasan, John H. L. Hansen:
Front-end Channel Compensation using Mixture-dependent Feature Transformations for i-Vector Speaker Recognition. INTERSPEECH 2012: 1091-1094 - [c219]Taufiq Hasan, John H. L. Hansen:
Integrated Feature Normalization and Enhancement for robust Speaker Recognition using Acoustic Factor Analysis. INTERSPEECH 2012: 1568-1571 - [c218]Keith W. Godin, Taufiq Hasan, John H. L. Hansen:
Glottal Waveform Analysis of Physical Task Stress Speech. INTERSPEECH 2012: 1648-1651 - [c217]Seyed Omid Sadjadi, Taufiq Hasan, John H. L. Hansen:
Mean Hilbert Envelope Coefficients (MHEC) for Robust Speaker Recognition. INTERSPEECH 2012: 1696-1699 - [c216]Wooil Kim, John H. L. Hansen:
Gaussian Map based Acoustic Model Adaptation Using Untranscribed Data for Speech Recognition in Severely Adverse Environments. INTERSPEECH 2012: 1764-1767 - [c215]Seçkin Uluskan, John H. L. Hansen:
Phoneme Class Based Adaptation for Mismatch Acoustic Modeling of Distant Noisy Speech. INTERSPEECH 2012: 1780-1783 - [c214]Mahnoosh Mehrabani, John H. L. Hansen:
Speaker Clustering for a Mixture of Singing and Reading. INTERSPEECH 2012: 2258-2261 - [c213]Ali Ziaei, Abhijeet Sangwan, John H. L. Hansen:
Prof-Life-Log: Audio Environment Detection for Naturalistic Audio Streams. INTERSPEECH 2012: 2514-2517 - [c212]Amardeep Sathyanarayana, Seyed Omid Sadjadi, John H. L. Hansen:
Leveraging sensor information from portable devices towards automatic driving maneuver recognition. ITSC 2012: 660-665 - [c211]Gang Liu, Chi Zhang, John H. L. Hansen:
A linguistic data acquisition front-end for language recognition evaluation. Odyssey 2012: 224-228 - [c210]Taufiq Hasan, John H. L. Hansen:
Factor analysis of acoustic features using a mixture of probabilistic principal component analyzers for robust speaker verification. Odyssey 2012: 243-247 - [c209]Dongxin Xu, Jill Gilkerson, Jeffrey A. Richards, John H. L. Hansen, Christine Yoshinaga-Itano:
Identifying impact factors of language development in young children's natural home environment. WOCCI 2012: 74-81 - 2011
- [j78]John H. L. Hansen, Wooil Kim, Mandar Rahurkar, Evan Ruzanski, James Meyerhoff:
Robust Emotional Stressed Speech Detection Using Weighted Frequency Subbands. EURASIP J. Adv. Signal Process. 2011 (2011) - [j77]Amardeep Sathyanarayana, Pinar Boyraz, John H. L. Hansen:
Information fusion for robust 'context and driver aware' active vehicle safety systems. Inf. Fusion 12(4): 293-303 (2011) - [j76]Yun Lei, John H. L. Hansen:
Mismatch modeling and compensation for robust speaker verification. Speech Commun. 53(2): 257-268 (2011) - [j75]Wooil Kim, John H. L. Hansen:
Variational noise model composition through model perturbation for robust speech recognition with time-varying background noise. Speech Commun. 53(4): 451-464 (2011) - [j74]Yun Lei, John H. L. Hansen:
Dialect Classification via Text-Independent Training and Testing for Arabic, Spanish, and Chinese. IEEE Trans. Speech Audio Process. 19(1): 85-96 (2011) - [j73]Chi Zhang, John H. L. Hansen:
Whisper-Island Detection Based on Unsupervised Segmentation With Entropy-Based Speech Feature Processing. IEEE ACM Trans. Audio Speech Lang. Process. 19(4): 883-894 (2011) - [j72]Xing Fan, John H. L. Hansen:
Speaker Identification Within Whispered Speech Audio Streams. IEEE Trans. Speech Audio Process. 19(5): 1408-1421 (2011) - [j71]Wooil Kim, John H. L. Hansen:
A Novel Mask Estimation Method Employing Posterior-Based Representative Mean Estimate for Missing-Feature Speech Recognition. IEEE Trans. Speech Audio Process. 19(5): 1434-1443 (2011) - [j70]Taufiq Hasan, John H. L. Hansen:
A Study on Universal Background Model Training in Speaker Verification. IEEE Trans. Speech Audio Process. 19(7): 1890-1899 (2011) - [j69]Kazuya Takeda, John H. L. Hansen, Pinar Boyraz, Lucas Malta, Chiyomi Miyajima, Hüseyin Abut:
International Large-Scale Vehicle Corpora for Research on Driver Behavior on the Road. IEEE Trans. Intell. Transp. Syst. 12(4): 1609-1623 (2011) - [c208]Xing Fan, Carlos Busso, John H. L. Hansen:
Audio-visual isolated digit recognition for whispered speech. EUSIPCO 2011: 1500-1503 - [c207]Gang Liu, John H. L. Hansen:
A systematic strategy for robust automatic dialect identification. EUSIPCO 2011: 2138-2141 - [c206]Balkan Kecicioglu, Wenxun Qiu, Hlaing Minn, John H. L. Hansen:
Spatial, spectral and temporal adaptation for fast fading MIMO-OFDMA systems. GLOBECOM Workshops 2011: 597-602 - [c205]Tao Yu, John H. L. Hansen:
Relative proportionate NLMS: Improving convergence for acoustic channel identification. ICASSP 2011: 81-84 - [c204]Abhijeet Sangwan, Mahnoosh Mehrabani, John H. L. Hansen:
Language identification using a combined articulatory prosody framework. ICASSP 2011: 4400-4403 - [c203]Mahnoosh Mehrabani, John H. L. Hansen:
Language identification for singing. ICASSP 2011: 4408-4411 - [c202]Hynek Boril, John H. L. Hansen:
UT-Scope: Towards LVCSR under Lombard effect induced by varying types and levels of noisy background. ICASSP 2011: 4472-4475 - [c201]Amit Das, John H. L. Hansen:
Phoneme selective speech enhancement using the generalized parametric spectral subtraction estimator. ICASSP 2011: 4648-4651 - [c200]Jun-Won Suh, Yun Lei, Wooil Kim, John H. L. Hansen:
Effective background data selection in SVM speaker recognition for unseen test environment: More is not always better. ICASSP 2011: 5304-5307 - [c199]Seyed Omid Sadjadi, John H. L. Hansen:
Hilbert envelope based features for robust speaker identification under reverberant mismatched conditions. ICASSP 2011: 5448-5451 - [c198]Xing Fan, Keith W. Godin, John H. L. Hansen:
Acoustic Analysis of Whispered Speech for Phoneme and Speaker Dependency. INTERSPEECH 2011: 181-184 - [c197]Hynek Boril, Frantisek Grézl, John H. L. Hansen:
Front-End Compensation Methods for LVCSR Under Lombard Effect. INTERSPEECH 2011: 1257-1260 - [c196]Wooil Kim, John H. L. Hansen:
Feature Compensation for Speech Recognition in Severely Adverse Environments Due to Background Noise and Channel Distortion. INTERSPEECH 2011: 1653-1656 - [c195]Chi Zhang, John H. L. Hansen:
Frame-Level Vocal Effort Likelihood Space Modeling for Improved Whisper-Island Detection. INTERSPEECH 2011: 2421-2424 - [c194]Xing Fan, John H. L. Hansen:
Speaker Identification for Whispered Speech Using a Training Feature Transformation from Neutral to Whisper. INTERSPEECH 2011: 2425-2428 - [c193]Freddy William, Abhijeet Sangwan, John H. L. Hansen:
Using Human Perception for Automatic Accent Assessment. INTERSPEECH 2011: 2509-2512 - [c192]Azar Taufique, Kumaran Vijayasankar, Wooil Kim, John H. L. Hansen, Marco Tacca, Andrea Fumagalli:
Phone Impact Based Speech Transmission Technique for Reliable Speech Recognition in Poor Wireless Network Conditions. INTERSPEECH 2011: 2529-2532 - [c191]Taufiq Hasan, John H. L. Hansen:
Robust Speaker Recognition in Non-Stationary Room Environments Based on Empirical Mode Decomposition. INTERSPEECH 2011: 2733-2736 - [c190]Keith W. Godin, John H. L. Hansen:
Vowel Context and Speaker Interactions Influencing Glottal Open Quotient and Formant Frequency Shifts in Physical Task Stress. INTERSPEECH 2011: 2945-2948 - [c189]Tauhidur Rahman, Soroosh Mariooryad, Shalini Keshavamurthy, Gang Liu, John H. L. Hansen, Carlos Busso:
Detecting Sleepiness by Fusing Classifiers Trained with Novel Acoustic Features. INTERSPEECH 2011: 3285-3288 - 2010
- [j68]Tao Yu, John H. L. Hansen:
Automatic Beamforming for Blind Extraction of Speech From Music Environment Using Variance of Spectral Flux-Inspired Criterion. IEEE J. Sel. Top. Signal Process. 4(5): 785-797 (2010) - [j67]John H. L. Hansen, Xianxian Zhang:
Analysis of CFA-BF: Novel combined fixed/adaptive beamforming for robust speech recognition in real car environments. Speech Commun. 52(2): 134-149 (2010) - [j66]Sanjay A. Patil, John H. L. Hansen:
The physiological microphone (PMIC): A competitive alternative for speaker assessment in stress detection and speaker verification. Speech Commun. 52(4): 327-340 (2010) - [j65]John H. L. Hansen, Sharmistha S. Gray, Wooil Kim:
Automatic voice onset time detection for unvoiced stops (/p/, /t/, /k/) with application to accent classification. Speech Commun. 52(10): 777-789 (2010) - [j64]Wooil Kim, John H. L. Hansen:
Phonetic Distance Based Confidence Measure. IEEE Signal Process. Lett. 17(2): 121-124 (2010) - [j63]Tao Yu, John H. L. Hansen:
Discriminative Training for Multiple Observation Likelihood Ratio Based Voice Activity Detection. IEEE Signal Process. Lett. 17(11): 897-900 (2010) - [j62]Hynek Boril, John H. L. Hansen:
Unsupervised Equalization of Lombard Effect for Speech Recognition in Noisy Adverse Environments. IEEE Trans. Speech Audio Process. 18(6): 1379-1393 (2010) - [j61]Murat Akbacak, John H. L. Hansen:
Spoken Proper Name Retrieval for Limited Resource Languages Using Multilingual Hybrid Representations. IEEE Trans. Speech Audio Process. 18(6): 1486-1495 (2010) - [j60]Wooil Kim, John H. L. Hansen:
Missing-Feature Reconstruction by Leveraging Temporal Spectral Correlation for Robust Speech Recognition in Background Noise Conditions. IEEE Trans. Speech Audio Process. 18(8): 2111-2120 (2010) - [c188]Jun-Won Suh, John H. L. Hansen:
Test token driven acoustic balancing for sparse enrollment data in cohort GMM speaker recognition. EUSIPCO 2010: 572-575 - [c187]Seyed Omid Sadjadi, John H. L. Hansen:
A scanning window scheme based on SVM training error rate for unsupervised audio segmentation. EUSIPCO 2010: 1262-1266 - [c186]Gang Liu, Yun Lei, John H. L. Hansen:
Dialect identification: Impact of differences between read versus spontaneous speech. EUSIPCO 2010: 2003-2006 - [c185]Tao Yu, John H. L. Hansen:
An efficient microphone array based voice activity detector for driver's speech in noise and music rich in-vehicle environments. ICASSP 2010: 2834-2837 - [c184]Taufiq Hasan, Yun Lei, Aravind Chandrasekaran, John H. L. Hansen:
A novel feature sub-sampling method for efficient universal background model training in speaker verification. ICASSP 2010: 4494-4497 - [c183]Abhishek Kumar, John H. L. Hansen:
A kernel mean matching approach for environment mismatch compensation in speech recognition. ICASSP 2010: 4582-4585 - [c182]Seyed Omid Sadjadi, Sanjay A. Patil, John H. L. Hansen:
Towards more intelligible physiological microphone speech: A probabilistic transformation approach. ICASSP 2010: 4730-4733 - [c181]Amit Das, John H. L. Hansen:
Broad phoneme class based speech enhancement using mixture maximum model. ICASSP 2010: 4762-4765 - [c180]Abhijeet Sangwan, Mahnoosh Mehrabani, John H. L. Hansen:
Automatic language analysis and identification based on speech production knowledge. ICASSP 2010: 5006-5009 - [c179]Xing Fan, John H. L. Hansen:
Acoustic analysis for speaker identification of whispered speech. ICASSP 2010: 5046-5049 - [c178]Sulyman Amuda, Hynek Boril, Abhijeet Sangwan, John H. L. Hansen:
Limited resource speech recognition for Nigerian English. ICASSP 2010: 5090-5093 - [c177]Sanjay A. Patil, Abhijeet Sangwan, John H. L. Hansen:
Speech under physical stress: A production-based framework. ICASSP 2010: 5146-5149 - [c176]Mahnoosh Mehrabani, Hynek Boril, John H. L. Hansen:
Dialect distance assessment method based on comparison of pitch pattern statistical models. ICASSP 2010: 5158-5161 - [c175]Wooil Kim, John H. L. Hansen:
Angry emotion detection from real-life conversational speech by leveraging content structure. ICASSP 2010: 5166-5169 - [c174]Chi Zhang, John H. L. Hansen:
Advancements in whisper-island detection using the linear predictive residual. ICASSP 2010: 5170-5173 - [c173]Keith W. Godin, John H. L. Hansen:
Session variability contrasts in the MARP corpus. INTERSPEECH 2010: 298-301 - [c172]Yun Lei, John H. L. Hansen:
Speaker recognition using supervised probabilistic principal component analysis. INTERSPEECH 2010: 382-385 - [c171]Gang Liu, Yun Lei, John H. L. Hansen:
A novel feature extraction strategy for multi-stream robust emotion identification. INTERSPEECH 2010: 482-485 - [c170]Hynek Boril, Seyed Omid Sadjadi, Tristan Kleinschmidt, John H. L. Hansen:
Analysis and detection of cognitive load and frustration in drivers' speech. INTERSPEECH 2010: 502-505 - [c169]Seyed Omid Sadjadi, Sanjay A. Patil, John H. L. Hansen:
Quality conversion of non-acoustic signals for facilitating human-to-human speech communication under harsh acoustic conditions. INTERSPEECH 2010: 1624-1627 - [c168]Wooil Kim, Jun-Won Suh, John H. L. Hansen:
An effective feature compensation scheme tightly matched with speech recognizer employing SVM-based GMM generation. INTERSPEECH 2010: 2078-2081 - [c167]Seyed Omid Sadjadi, John H. L. Hansen:
Assessment of single-channel speech enhancement techniques for speaker identification under mismatched conditions. INTERSPEECH 2010: 2138-2141 - [c166]Hynek Boril, Abhijeet Sangwan, Taufiq Hasan, John H. L. Hansen:
Automatic excitement-level detection for sports highlights generation. INTERSPEECH 2010: 2202-2205 - [c165]Tao Yu, John H. L. Hansen:
A Bayesian approach to voice activity detection using multiple statistical models and discriminative training. INTERSPEECH 2010: 3114-3117 - [c164]Tao Yu, John H. L. Hansen:
The "UTDrive" in-vehicle voice activity detection system. Intelligent Vehicles Symposium 2010: 162-167 - [c163]Amardeep Sathyanarayana, Pinar Boyraz, Zelam Purohit, Rosarita Lubag, John H. L. Hansen:
Driver adaptive and context aware active safety systems using CAN-bus signals. Intelligent Vehicles Symposium 2010: 1236-1241
2000 – 2009
- 2009
- [j59]Wooil Kim, John H. L. Hansen:
Feature compensation in the cepstral domain employing model combination. Speech Commun. 51(2): 83-96 (2009) - [j58]John H. L. Hansen, Vaishnevi S. Varadarajan:
Analysis and Compensation of Lombard Speech Across Noise Type and Levels With Application to In-Set/Out-of-Set Speaker Recognition. IEEE Trans. Speech Audio Process. 17(2): 366-378 (2009) - [j57]Nicolás Morales, Doroteo Torre Toledano, John H. L. Hansen, Javier Garrido Salas:
Feature Compensation Techniques for ASR on Band-Limited Speech. IEEE Trans. Speech Audio Process. 17(4): 758-774 (2009) - [j56]Wooil Kim, John H. L. Hansen:
Time-Frequency Correlation-Based Missing-Feature Reconstruction for Robust Speech Recognition in Band-Restricted Conditions. IEEE Trans. Speech Audio Process. 17(7): 1292-1304 (2009) - [j55]Nitish Krishnamurthy, John H. L. Hansen:
Babble Noise: Modeling, Analysis, and Applications. IEEE Trans. Speech Audio Process. 17(7): 1394-1407 (2009) - [c162]Abhijeet Sangwan, John H. L. Hansen:
Leveraging speech production knowledge for improved speech recognition. ASRU 2009: 58-63 - [c161]Wooil Kim, John H. L. Hansen:
Mask estimation employing Posterior-based Representative Mean for missing-feature speech recognition with time-varying background noise. ASRU 2009: 194-198 - [c160]Tao Yu, John H. L. Hansen:
A speech presence microphone array beamformer using model based speech presence probability estimation. ICASSP 2009: 213-216 - [c159]Hynek Boril, John H. L. Hansen:
Unsupervised equalization of Lombard effect for speech recognition in noisy adverse environment. ICASSP 2009: 3937-3940 - [c158]Yun Lei, John H. L. Hansen:
Factor analysis-based information integration for Arabic dialect identification. ICASSP 2009: 4337-4340 - [c157]Xing Fan, John H. L. Hansen:
Speaker identification with whispered speech based on modified LFCC parameters and feature mapping. ICASSP 2009: 4553-4556 - [c156]Sanjay A. Patil, John H. L. Hansen:
Enhancing in-vehicle safety via contact sensor for stress detection. ICVES 2009: 86-90 - [c155]Tristan Kleinschmidt, Pinar Boyraz, Hynek Boril, Sridha Sridharan, John H. L. Hansen:
Assessment of speech dialog systems using multi-modal cognitive load analysis and driving performance metrics. ICVES 2009: 162-167 - [c154]Abhijeet Sangwan, John H. L. Hansen:
On the use of phonological features for automatic accent analysis. INTERSPEECH 2009: 172-175 - [c153]Chi Zhang, John H. L. Hansen:
Advancements in whisper-island detection within normally phonated audio streams. INTERSPEECH 2009: 860-863 - [c152]Xing Fan, John H. L. Hansen:
Speaker identification for whispered speech using modified temporal patterns and MFCCs. INTERSPEECH 2009: 896-899 - [c151]Hynek Boril, John H. L. Hansen:
Reduced complexity equalization of lombard effect for speech recognition in noisy adverse environments. INTERSPEECH 2009: 1243-1246 - [c150]Tao Yu, John H. L. Hansen:
Robust minimal variance distortionless speech power spectra enhancement using order statistic filter for microphone array. INTERSPEECH 2009: 1363-1366 - [c149]Amit Das, John H. L. Hansen:
Speech enhancement minimizing generalized euclidean distortion using supergaussian priors. INTERSPEECH 2009: 1367-1370 - [c148]Wooil Kim, John H. L. Hansen:
Robust angry speech detection employing a TEO-based discriminative classifier combination. INTERSPEECH 2009: 2019-2022 - [c147]Yun Lei, John H. L. Hansen:
The role of age in factor analysis for speaker identification. INTERSPEECH 2009: 2371-2374 - [c146]Wooil Kim, John H. L. Hansen:
Variational model composition for robust speech recognition with time-varying background noise. INTERSPEECH 2009: 2399-2402 - [c145]Dongxin Xu, Jeffrey A. Richards, Jill Gilkerson, Umit H. Yapanel, Sharmistha S. Gray, John H. L. Hansen:
Automatic childhood autism detection by vocalization decomposition with phone-like units. WOCCI 2009: 97-103 - [c144]Umit H. Yapanel, Dongxin Xu, John H. L. Hansen, Sharmistha S. Gray, Jill Gilkerson, Jeffrey A. Richards:
Preliminary study of stress/neutral detection on recordings of children in the natural home environment. WOCCI 2009: 107-111 - [c143]Sanjay A. Patil, John H. L. Hansen, Jill Gilkerson, Sharmistha S. Gray, Dongxin Xu:
Assessing the stress/neutral speech environment in adult/child interactions for applications in child language development. WOCCI 2009: 117-120 - [p1]Wooil Kim, John H. L. Hansen:
Speechfind. Handbook of Research on Digital Libraries 2009: 173-187 - 2008
- [j54]Woon S. Gan, Sen M. Kuo, John H. L. Hansen:
Intelligent Audio, Speech, and Music Processing Applications. EURASIP J. Audio Speech Music. Process. 2008 (2008) - [j53]Umit H. Yapanel, John H. L. Hansen:
Towards an Intelligent Acoustic Front End for Automatic Speech Recognition: Built-in Speaker Normalization. EURASIP J. Audio Speech Music. Process. 2008 (2008) - [j52]Wooil Kim, John H. L. Hansen:
Feature Compensation Employing Multiple Environmental Models for Robust In-Vehicle Speech Recognition. IEICE Trans. Inf. Syst. 91-D(3): 430-438 (2008) - [j51]Umit H. Yapanel, John H. L. Hansen:
A new perceptually motivated MVDR-based acoustic front-end (PMVDR) for robust automatic speech recognition. Speech Commun. 50(2): 142-152 (2008) - [c142]Rahul Chitturi, John H. L. Hansen:
Dialect Classification for Online Podcasts Fusing Acoustic and Language Based Structural and Semantic Information. ACL (2) 2008: 21-24 - [c141]Matthew R. Leonard, John H. L. Hansen:
In-set/out-of-set speaker recognition: leverging the speaker and noise balance. ICASSP 2008: 1585-1588 - [c140]Nitish Krishnamurthy, John H. L. Hansen:
Speech babble: Analysis and modeling for speech systems. ICASSP 2008: 4505-4508 - [c139]Amardeep Sathyanarayana, Sandhya Nageswaren, Hassan Ghasemzadeh, Roozbeh Jafari, John H. L. Hansen:
Body sensor networks for driver distraction identification. ICVES 2008: 120-125 - [c138]Amardeep Sathyanarayana, Pinar Boyraz, John H. L. Hansen:
Driver behavior analysis and route recognition by Hidden Markov Models. ICVES 2008: 276-281 - [c137]Pinar Boyraz, John H. L. Hansen:
Active accident avoidance case study: Integrating drowsiness monitoring system with lateral control and speed regulation in passenger vehicles. ICVES 2008: 293-298 - [c136]Amit Das, John H. L. Hansen:
Generalized parametric spectral subtraction using weighted Euclidean distortion. INTERSPEECH 2008: 399-402 - [c135]Yun Lei, John H. L. Hansen:
Dialect classification via discriminative training. INTERSPEECH 2008: 735-738 - [c134]Mahnoosh Mehrabani, John H. L. Hansen:
Dialect separation assessment using log-likelihood score distributions. INTERSPEECH 2008: 747-750 - [c133]Sanjay A. Patil, John H. L. Hansen:
Detection of speech under physical stress: model development, sensor selection, and feature fusion. INTERSPEECH 2008: 817-820 - [c132]Nitish Krishnamurthy, Ayako Ikeno, John H. L. Hansen:
Babble speech: acoustic and perceptual variability. INTERSPEECH 2008: 1040-1043 - [c131]Abhishek Kumar, John H. L. Hansen:
Environment mismatch compensation using average eigenspace for speech recognition. INTERSPEECH 2008: 1277-1280 - [c130]Xing Fan, John H. L. Hansen:
Speaker identification for whispered speech based on frequency warping and score competition. INTERSPEECH 2008: 1313-1316 - [c129]Abhijeet Sangwan, Ayako Ikeno, John H. L. Hansen:
Evidence of coarticulation in a phonological feature detection system. INTERSPEECH 2008: 1525-1528 - [c128]Keith W. Godin, John H. L. Hansen:
Analysis and perception of speech under physical task stress. INTERSPEECH 2008: 1674-1677 - [c127]Jun-Won Suh, Pongtep Angkititrakul, John H. L. Hansen:
Filling acoustic holes through leveraged uncorellated GMMs for in-set/out-of-set speaker recognition. INTERSPEECH 2008: 1905-1908 - [c126]Wooil Kim, John H. L. Hansen:
Missing-feature method for speaker recognition in band-restricted conditions. INTERSPEECH 2008: 1909-1912 - [c125]Chi Zhang, John H. L. Hansen:
An entropy based feature for whisper-island detection within audio streams. INTERSPEECH 2008: 2510-2513 - [c124]Dongxin Xu, Umit H. Yapanel, Sharmistha S. Gray, Jill Gilkerson, Jeffrey A. Richards, John H. L. Hansen:
Signal processing for young child speech language development. WOCCI 2008: 20 - 2007
- [j50]Ayako Ikeno, John H. L. Hansen:
The Effect of Listener Accent Background on Accent Perception and Comprehension. EURASIP J. Audio Speech Music. Process. 2007 (2007) - [j49]Nicolás Morales, Doroteo T. Toledano, John H. L. Hansen, José Colás:
Blind Feature Compensation for Time-Variant Band-Limited Speech Recognition. IEEE Signal Process. Lett. 14(1): 70-73 (2007) - [j48]Rongqing Huang, John H. L. Hansen, Pongtep Angkititrakul:
Dialect/Accent Classification Using Unrestricted Audio. IEEE Trans. Speech Audio Process. 15(2): 453-464 (2007) - [j47]Murat Akbacak, John H. L. Hansen:
Environmental Sniffing: Noise Knowledge Estimation for Robust Speech Systems. IEEE Trans. Speech Audio Process. 15(2): 465-477 (2007) - [j46]Pongtep Angkititrakul, John H. L. Hansen:
Discriminative In-Set/Out-of-Set Speaker Recognition. IEEE Trans. Speech Audio Process. 15(2): 498-508 (2007) - [j45]Vinod Prakash, John H. L. Hansen:
In-Set/Out-of-Set Speaker Recognition Under Sparse Enrollment. IEEE Trans. Speech Audio Process. 15(7): 2044-2052 (2007) - [j44]Rongqing Huang, John H. L. Hansen:
Unsupervised Discriminative Training With Application to Dialect Classification. IEEE Trans. Speech Audio Process. 15(8): 2444-2453 (2007) - [c123]Rahul Chitturi, John H. L. Hansen:
Multi-stream dialect classification using SVM-GMM hybrid classifiers. ASRU 2007: 431-436 - [c122]Abhijeet Sangwan, John H. L. Hansen:
Phonological feature based variable frame rate scheme for improved speech recognition. ASRU 2007: 582-586 - [c121]Wooil Kim, John H. L. Hansen:
Speechfind for CDP: Advances in spoken document retrieval for the U. S. collaborative digitization program. ASRU 2007: 687-692 - [c120]Murat Akbacak, John H. L. Hansen:
Language Normalization for Bilingual Speaker Recognition Systems. ICASSP (4) 2007: 257-260 - [c119]Rongqing Huang, John H. L. Hansen:
Dialect Classification on Printed Text using Perplexity Measure and Conditional Random Fields. ICASSP (4) 2007: 993-996 - [c118]Ayako Ikeno, John H. L. Hansen:
Lombard speech impact on perceptual speaker recognition. INTERSPEECH 2007: 414-417 - [c117]Amit Das, John H. L. Hansen:
Class constrained ROVER based speech enhancement. INTERSPEECH 2007: 806-809 - [c116]Nitish Krishnamurthy, John H. L. Hansen:
Noise tracking for speech systems in adverse environments. INTERSPEECH 2007: 834-837 - [c115]Pongtep Angkititrakul, DongGu Kwak, SangJo Choi, JeongHee Kim, Anh PhucPhan, Amardeep Sathyanarayana, John H. L. Hansen:
Getting start with UTDrive: driver-behavior modeling and assessment of distraction for in-vehicle speech systems. INTERSPEECH 2007: 1334-1337 - [c114]Vinod Prakash, John H. L. Hansen:
Score distribution scaling for speaker recognition. INTERSPEECH 2007: 2029-2032 - [c113]Chi Zhang, John H. L. Hansen:
Analysis and classification of speech mode: whispered through shouted. INTERSPEECH 2007: 2289-2292 - [c112]Wooil Kim, John H. L. Hansen:
Advances in speechfind: transcript reliability estimation employing confidence measure based on discriminative sub-word model for SDR. INTERSPEECH 2007: 2409-2412 - [c111]Abhijeet Sangwan, Nitish Krishnamurthy, John H. L. Hansen:
Environmentally aware voice activity detector. INTERSPEECH 2007: 2929-2932 - [c110]Nicolás Morales, Doroteo T. Toledano, John H. L. Hansen, Javier Garrido Salas:
Multivariate Cepstral Feature Compensation on Band-limited Data for Robust Speech Recognition. NODALIDA 2007: 144-151 - [c109]John H. L. Hansen, Sanjay A. Patil:
Speech Under Stress: Analysis, Modeling and Recognition. Speaker Classification (1) 2007: 108-137 - 2006
- [j43]Pongtep Angkititrakul, John H. L. Hansen:
Advances in phone-based modeling for automatic accent classification. IEEE Trans. Speech Audio Process. 14(2): 634-646 (2006) - [j42]Rongqing Huang, John H. L. Hansen:
Advances in unsupervised audio classification and segmentation for the broadcast news and NGSW corpora. IEEE Trans. Speech Audio Process. 14(3): 907-919 (2006) - [j41]John H. L. Hansen, V. Radhakrishnan, Kathryn Hoberg Arehart:
Speech Enhancement Based on Generalized Minimum Mean Square Error Estimators and Masking Properties of the Auditory System. IEEE Trans. Speech Audio Process. 14(6): 2049-2063 (2006) - [c108]Ayako Ikeno, John H. L. Hansen:
Perceptual Recognition Cues in Native English Accent Variation: "Listener Accent, Perceived Accent, and Comprehension". ICASSP (1) 2006: 401-404 - [c107]Evan Ruzanski, John H. L. Hansen, James Meyerhoff, George Saviolakis, William Norris, Terry Wollert:
Stress Level Classification of Speech Using Euclidean Distance Metrics in a Novel Hybrid Multi-Dimensional Feature Space. ICASSP (1) 2006: 425-428 - [c106]Nicolás Morales, Doroteo T. Toledano, John H. L. Hansen, Javier Garrido Salas, José Colás:
Unsupervised Class-Based Feature Compensation for Time-Variable Bandwidth-Limited Speech. ICASSP (1) 2006: 533-536 - [c105]Murat Akbacak, John H. L. Hansen:
Spoken Proper Name Retrieval in Audio Streams for Limited-Resource Languages Via Lattice Based Search Using Hybrid Representations. ICASSP (1) 2006: 953-956 - [c104]Murat Akbacak, John H. L. Hansen:
A robust fusion method for multilingual spoken document retrieval systems employing tiered resources. INTERSPEECH 2006 - [c103]Amit Das, John H. L. Hansen:
Decision directed constrained iterative speech enhancement. INTERSPEECH 2006 - [c102]Rongqing Huang, John H. L. Hansen:
Unsupervised Spanish dialect classification. INTERSPEECH 2006 - [c101]Ayako Ikeno, John H. L. Hansen:
The role of prosody in the perception of US native English accents. INTERSPEECH 2006 - [c100]Wooil Kim, John H. L. Hansen:
Missing-feature reconstruction for band-limited speech recognition in spoken document retrieval. INTERSPEECH 2006 - [c99]Nitish Krishnamurthy, John H. L. Hansen:
Noise update modeling for speech enhancement: when do we do enough? INTERSPEECH 2006 - [c98]Vinod Prakash, John H. L. Hansen:
A cohort - UBM approach to mitigate data sparseness for in-set/out-of-set speaker recognition. INTERSPEECH 2006 - [c97]Vaishnevi S. Varadarajan, John H. L. Hansen:
Analysis of lombard effect under different types and levels of noise with application to in-set speaker ID systems. INTERSPEECH 2006 - 2005
- [j40]Ajay Natarajan, John H. L. Hansen, Kathryn Hoberg Arehart, Jessica Rossi-Katz:
An Auditory-Masking-Threshold-Based Noise Suppression Algorithm GMMSE-AMT[ERB] for Listeners with Sensorineural Hearing Loss. EURASIP J. Adv. Signal Process. 2005(18): 2938-2953 (2005) - [j39]Bowen Zhou, John H. L. Hansen:
Efficient audio stream segmentation via the combined T2 statistic and Bayesian information criterion. IEEE Trans. Speech Audio Process. 13(4): 467-474 (2005) - [j38]Bowen Zhou, John H. L. Hansen:
Rapid discriminative acoustic model based on eigenspace mapping for fast speaker adaptation. IEEE Trans. Speech Audio Process. 13(4): 554-564 (2005) - [j37]John H. L. Hansen, Rongqing Huang, Bowen Zhou, Michael S. Seadle, John R. Deller Jr., Aparna Gurijala, Mikko Kurimo, Pongtep Angkititrakul:
SpeechFind: Advances in Spoken Document Retrieval for a National Gallery of the Spoken Word. IEEE Trans. Speech Audio Process. 13(5-1): 712-730 (2005) - [c96]Evan Ruzanski, John H. L. Hansen, James Meyerhoff, George Saviolakis, Michael Koenig:
Effects of Phoneme Characteristics on TEO Feature-based Automatic Stress Detection in Speech. ICASSP (1) 2005: 357-360 - [c95]Nicolás Morales, John H. L. Hansen, Doroteo T. Toledano:
MFCC Compensation for Improved Recognition of Filtered and Band-Limited Speech. ICASSP (1) 2005: 521-524 - [c94]Rongqing Huang, John H. L. Hansen:
Dialect/Accent Classification via Boosted Word Modeling. ICASSP (1) 2005: 585-588 - [c93]Umit H. Yapanel, John H. L. Hansen:
Towards an Intelligent Acoustic Front-End for Automatic Speech Recognition: Built-In Speaker Normalization (BISN). ICASSP (1) 2005: 949-952 - [c92]Xianxian Zhang, John H. L. Hansen, Pongtep Angkititrakul, Kazuya Takeda:
Speaker verification using Gaussian mixture models within changing real car environments. INTERSPEECH 2005: 2021-2024 - [c91]Xianxian Zhang, John H. L. Hansen:
In-set/out-of-set speaker identification based on discriminative speech frame selection. INTERSPEECH 2005: 2037-2040 - [c90]Rongqing Huang, John H. L. Hansen:
Advances in word based dialect/accent classification. INTERSPEECH 2005: 2241-2244 - [c89]Louisa Busca Grisoni, John H. L. Hansen:
Collaborative voice activity detection for hearing aids. INTERSPEECH 2005: 2353-2356 - [c88]Nicolás Morales, Doroteo T. Toledano, John H. L. Hansen, José Colás, Javier Garrido Salas:
Statistical class-based MFCC enhancement of filtered and band-limited speech for robust ASR. INTERSPEECH 2005: 2629-2632 - [c87]Evan Ruzanski, John H. L. Hansen, Don Finan, James Meyerhoff, William Norris, Terry Wollert:
Improved "TEO" feature-based automatic stress detection using physiological and acoustic speech sensors. INTERSPEECH 2005: 2653-2656 - 2004
- [c86]Mikko Kurimo, Bowen Zhou, Rongqing Huang, John H. L. Hansen:
Language modeling structures in audio transcription for retrieval of historical speeches. EUSIPCO 2004: 557-560 - [c85]Xianxian Zhang, John H. L. Hansen, Kathryn Hoberg Arehart:
Speech enhancement based on a combined multi-channel array with constrained iterative and auditory masked processing. ICASSP (1) 2004: 229-232 - [c84]Pongtep Angkititrakul, John H. L. Hansen:
Identifying in-set and out-of-set speakers using neighborhood information. ICASSP (1) 2004: 393-396 - [c83]Rongqing Huang, John H. L. Hansen:
Advances in unsupervised audio segmentation for the broadcast news and NGSW corpora. ICASSP (1) 2004: 741-744 - [c82]Xianxian Zhang, John H. L. Hansen, Kathryn Hoberg Arehart, Jessica Rossi-Katz:
In-vehicle based speech processing for hearing impaired subjects. INTERSPEECH 2004: 865-868 - [c81]Rongqing Huang, John H. L. Hansen:
High-level feature weighted GMM network for audio stream classification. INTERSPEECH 2004: 1061-1064 - [c80]John H. L. Hansen, Umit H. Yapanel, Rongqing Huang, Ayako Ikeno:
Dialect analysis and modeling for automatic classification. INTERSPEECH 2004: 1569-1572 - [c79]Pongtep Angkititrakul, Sepideh Baghaii, John H. L. Hansen:
Cluster-dependent modeling and confidence measure processing for in-set/out-of-set speaker identification. INTERSPEECH 2004: 2385-2388 - [c78]Xianxian Zhang, Kazuya Takeda, John H. L. Hansen, Toshiki Maeno:
Audio-visual SPeaker localization for car navigation systems. INTERSPEECH 2004: 2501-2504 - 2003
- [j36]Kathryn Hoberg Arehart, John H. L. Hansen, Stephen Gallant, Laura Kalstein:
Evaluation of an auditory masked threshold noise suppression algorithm in normal-hearing and hearing-impaired listeners. Speech Commun. 40(4): 575-592 (2003) - [j35]Xianxian Zhang, John H. L. Hansen:
CSA-BF: a constrained switched adaptive beamformer for speech enhancement and recognition in real car environments. IEEE Trans. Speech Audio Process. 11(6): 733-745 (2003) - [c77]Murat Akbacak, John H. L. Hansen:
Environmental sniffing: noise knowledge estimation for robust speech systems. ICASSP (2) 2003: 113-116 - [c76]Xianxian Zhang, John H. L. Hansen:
CSA-BF: novel constrained switched adaptive beamforming for speech enhancement & recognition in real car environments. ICASSP (2) 2003: 125-128 - [c75]Bowen Zhou, John H. L. Hansen:
Discriminative acoustic model using eigenspace mapping for rapid speaker adaptation. ICASSP (1) 2003: 308-311 - [c74]Mandar A. Rahurkar, John H. L. Hansen:
Frequency distribution based weighted sub-band approach for classification of emotional/stressful content in speech. INTERSPEECH 2003: 721-724 - [c73]Umit H. Yapanel, John H. L. Hansen:
A new perspective on feature extraction for robust in-vehicle speech recognition. INTERSPEECH 2003: 1281-1284 - [c72]Xianxian Zhang, John H. L. Hansen:
CFA-BF: a novel combined fixed/adaptive beamforming for robust speech recognition in real car environments. INTERSPEECH 2003: 1289-1292 - [c71]Pongtep Angkititrakul, John H. L. Hansen:
Use of trajectory models for automatic accent classification. INTERSPEECH 2003: 1353-1356 - [c70]Ajay Natarajan, John H. L. Hansen, Kathryn Hoberg Arehart, Jessica Rossi-Katz:
Perceptual based speech enhancement for normal-hearing and hearing-impaired individuals. INTERSPEECH 2003: 1425-1428 - [c69]Umit H. Yapanel, Satya Dharanipragada, John H. L. Hansen:
Perceptual MVDR-based cepstral coefficients (PMCCs) for high accuracy speech recognition. INTERSPEECH 2003: 1829-1832 - [c68]Murat Akbacak, John H. L. Hansen:
Environmental sniffing: robust digit recognition for an in-vehicle environment. INTERSPEECH 2003: 2177-2180 - 2002
- [j34]David T. Chappell, John H. L. Hansen:
A comparison of spectral smoothing methods for segment concatenation based speech synthesis. Speech Commun. 36(3-4): 343-373 (2002) - [c67]Sharmistha Sarkar Das, Norman Chan, Danny Wages, John H. L. Hansen:
Application of automatic speech recognition in call classification. ICASSP 2002: 3896-3899 - [c66]Bowen Zhou, John H. L. Hansen:
Rapid speaker adaptation using multi-stream Structural Maximum Likelihood Eigenspace Mapping. ICASSP 2002: 4166 - [c65]Pongtep Angkititrakul, John H. L. Hansen:
Stochastic trajectory model analysis for accent classification. INTERSPEECH 2002: 493-496 - [c64]Aparna Gurijala, John R. Deller Jr., Michael S. Seadle, John H. L. Hansen:
Speech watermarking through parametric modeling. INTERSPEECH 2002: 621-624 - [c63]Umit H. Yapanel, Xianxian Zhang, John H. L. Hansen:
High performance digit recognition in real car environments. INTERSPEECH 2002: 793-796 - [c62]Bowen Zhou, John H. L. Hansen:
Improved structural maximum likelihood eigenspace mapping for rapid speaker adaptation. INTERSPEECH 2002: 1433-1436 - [c61]Bowen Zhou, John H. L. Hansen:
Speechfind: an experimental on-line spoken document retrieval system for historical audio archives. INTERSPEECH 2002: 1969-1972 - [c60]Mandar A. Rahurkar, John H. L. Hansen, James Meyerhoff, George Saviolakis, Michael Koenig:
Frequency band analysis for stress detection using a teager energy operator based feature. INTERSPEECH 2002: 2021-2024 - [e1]John H. L. Hansen, Bryan L. Pellom:
7th International Conference on Spoken Language Processing, ICSLP2002 - INTERSPEECH 2002, Denver, Colorado, USA, September 16-20, 2002. ISCA 2002 [contents] - 2001
- [j33]Bryan L. Pellom, Ruhi Sarikaya, John H. L. Hansen:
Fast likelihood computation techniques in nearest-neighbor based search for continuous speech recognition. IEEE Signal Process. Lett. 8(8): 221-224 (2001) - [j32]Guojun Zhou, John H. L. Hansen, James F. Kaiser:
Nonlinear feature based classification of speech under stress. IEEE Trans. Speech Audio Process. 9(3): 201-216 (2001) - [j31]Jesper Jensen, John H. L. Hansen:
Speech enhancement using a constrained iterative sinusoidal model. IEEE Trans. Speech Audio Process. 9(7): 731-740 (2001) - [c59]Umit H. Yapanel, John H. L. Hansen, Ruhi Sarikaya, Bryan L. Pellom:
Robust digit recognition in noise: an evaluation using the AURORA corpus. INTERSPEECH 2001: 209-212 - [c58]Ruhi Sarikaya, John H. L. Hansen:
Analysis of the root-cepstrum for acoustic modeling and fast decoding in speech recognition. INTERSPEECH 2001: 687-690 - [c57]John H. L. Hansen, Ruhi Sarikaya, Umit H. Yapanel, Bryan L. Pellom:
Robust speech recognition in noise: an evaluation using the SPINE corpus. INTERSPEECH 2001: 905-908 - [c56]Bowen Zhou, John H. L. Hansen:
A novel algorithm for rapid speaker adaptation based on structural maximum likelihood eigenspace mapping. INTERSPEECH 2001: 1215-1218 - [c55]Jay P. Plucienkowski, John H. L. Hansen, Pongtep Angkititrakul:
Combined front-end signal processing for in-vehicle speech systems. INTERSPEECH 2001: 1573-1576 - [c54]John H. L. Hansen, Pongtep Angkititrakul, Jay P. Plucienkowski, Stephen Gallant, Umit H. Yapanel, Bryan L. Pellom, Wayne H. Ward, Ronald A. Cole:
"CU-move" : analysis & corpus development for interactive in-vehicle speech systems. INTERSPEECH 2001: 2023-2026 - [c53]John H. L. Hansen, John R. Deller Jr., Michael S. Seadle:
Transcript-free search of audio archives for the national gallery of the spoken word. JCDL 2001: 235-236 - [c52]Bryan L. Pellom, Wayne H. Ward, John H. L. Hansen, Ronald A. Cole, Kadri Hacioglu, J. Zhang, X. Yu, Sameer Pradhan:
University of Colorado Dialogue Systems for Travel and Navigation. HLT 2001 - 2000
- [j30]Ruhi Sarikaya, John H. L. Hansen:
High resolution speech feature parametrization for monophone-based stressed speech recognition. IEEE Signal Process. Lett. 7(7): 182-185 (2000) - [j29]Sahar E. Bou-Ghazale, John H. L. Hansen:
A comparative study of traditional and newly proposed features for recognition of speech under stress. IEEE Trans. Speech Audio Process. 8(4): 429-442 (2000) - [c51]Ruhi Sarikaya, John H. L. Hansen:
PCA-PMC: a novel use of a priori knowledge for fast parallel model combination. ICASSP 2000: 1113-1116 - [c50]Jesper Jensen, John H. L. Hansen:
Speech enhancement based on a constrained sinusoidal model. INTERSPEECH 2000: 214-217 - [c49]John H. L. Hansen, Jay P. Plucienkowski, Stephen Gallant, Bryan L. Pellom, Wayne H. Ward:
"CU-move": robust speech processing for in-vehicle speech systems. INTERSPEECH 2000: 524-527 - [c48]Ruhi Sarikaya, John H. L. Hansen:
Improved Jacobian adaptation for fast acoustic model adaptation in noisy speech recognition. INTERSPEECH 2000: 702-705 - [c47]Bowen Zhou, John H. L. Hansen:
Unsupervised audio stream segmentation and clustering via the Bayesian information criterion. INTERSPEECH 2000: 714-717 - [c46]John H. L. Hansen, Bowen Zhou, Murat Akbacak, Ruhi Sarikaya, Bryan L. Pellom:
Audio stream phrase recognition for a national gallery of the spoken word: "one small step". INTERSPEECH 2000: 1089-1092
1990 – 1999
- 1999
- [j28]Joseph Picone, Jonathan E. Hamaker, Robert Brown, John H. L. Hansen, Ronald A. Cole:
The DSP Learning environment - modern DSP education: The Story of Three Greek Philosophers. IEEE Signal Process. Mag. 16(5): 48-56 (1999) - [j27]Levent M. Arslan, John H. L. Hansen:
Selective training for hidden Markov models with applications to speech classification. IEEE Trans. Speech Audio Process. 7(1): 46-54 (1999) - [j26]Brian D. Womack, John H. L. Hansen:
N-channel hidden Markov models for combined stressed speech classification and recognition. IEEE Trans. Speech Audio Process. 7(6): 668-677 (1999) - [c45]Bryan L. Pellom, John H. L. Hansen:
An experimental study of speaker verification sensitivity to computer voice-altered imposters. ICASSP 1999: 837-840 - [c44]Herman J. M. Steeneken, John H. L. Hansen:
Speech under stress conditions: overview of the effect on speech production and on system performance. ICASSP 1999: 2079-2082 - [c43]Guojun Zhou, John H. L. Hansen, James F. Kaiser:
Methods for stress classification: nonlinear TEO and linear speech based features. ICASSP 1999: 2087-2090 - [c42]Ruhi Sarikaya, John H. L. Hansen:
Auditory masking threshold estimation for broadband noise sources with application to speech enhancement. EUROSPEECH 1999: 2571-2574 - 1998
- [j25]Bryan L. Pellom, John H. L. Hansen:
Automatic segmentation of speech recorded in unknown noisy channel characteristics. Speech Commun. 25(1-3): 97-116 (1998) - [j24]Bryan L. Pellom, John H. L. Hansen:
An efficient scoring algorithm for Gaussian mixture model based speaker identification. IEEE Signal Process. Lett. 5(11): 281-284 (1998) - [j23]Sahar E. Bou-Ghazale, John H. L. Hansen:
HMM-based stressed speech modeling with application to improved synthesis and recognition of isolated speech under stress. IEEE Trans. Speech Audio Process. 6(3): 201-216 (1998) - [j22]Levent M. Arslan, John H. L. Hansen:
Likelihood decision boundary estimation between HMM pairs in speech recognition. IEEE Trans. Speech Audio Process. 6(4): 410-414 (1998) - [j21]John H. L. Hansen, David T. Chappell:
An auditory-based distortion measure with application to concatenative speech synthesis. IEEE Trans. Speech Audio Process. 6(5): 489-495 (1998) - [j20]Bryan L. Pellom, John H. L. Hansen:
An improved (Auto: I, LSP: T) constrained iterative speech enhancement for colored noise environments. IEEE Trans. Speech Audio Process. 6(6): 573-579 (1998) - [j19]John H. L. Hansen, Liliana Gavidia-Ceballos, James F. Kaiser:
A nonlinear operator-based speech feature analysis method with application to vocal fold pathology assessment. IEEE Trans. Biomed. Eng. 45(3): 300-313 (1998) - [c41]Guojun Zhou, John H. L. Hansen, James F. Kaiser:
Classification of speech under stress based on features derived from the nonlinear Teager energy operator. ICASSP 1998: 549-552 - [c40]David T. Chappell, John H. L. Hansen:
Speaker-specific pitch contour modeling and modification. ICASSP 1998: 885-888 - [c39]Sahar E. Bou-Ghazale, John H. L. Hansen:
Speech feature modeling for robust stressed speech recognition. ICSLP 1998 - [c38]David T. Chappell, John H. L. Hansen:
Spectral smoothing for concatenative speech synthesis. ICSLP 1998 - [c37]John H. L. Hansen, Bryan L. Pellom:
An effective quality evaluation protocol for speech enhancement algorithms. ICSLP 1998 - [c36]Bryan L. Pellom, John H. L. Hansen:
A duration-based confidence measure for automatic segmentation of noise corrupted speech. ICSLP 1998 - [c35]Ruhi Sarikaya, John H. L. Hansen:
Robust speech activity detection in the presence of noise. ICSLP 1998 - [c34]Guojun Zhou, John H. L. Hansen, James F. Kaiser:
Linear and nonlinear speech feature analysis for stress classification. ICSLP 1998 - 1997
- [j18]John H. L. Hansen, Bryan L. Pellom:
Text-directed speech enhancement employing phone class parsing and feature map constrained vector quantization. Speech Commun. 21(3): 169-189 (1997) - [j17]Levent M. Arslan, John H. L. Hansen:
Speech enhancement for crosstalk interference. IEEE Signal Process. Lett. 4(4): 92-95 (1997) - [c33]Bryan L. Pellom, John H. L. Hansen:
Spectral normalization employing hidden Markov modeling of line spectrum pair frequencies. ICASSP 1997: 943-946 - [c32]Levent M. Arslan, John H. L. Hansen:
Frequency characteristics of foreign accented speech. ICASSP 1997: 1123-1126 - [c31]David T. Chappell, John H. L. Hansen:
An auditory-based measure for improved phone segment concatenation. ICASSP 1997: 1639-1642 - [c30]John H. L. Hansen, Sahar E. Bou-Ghazale:
Getting started with SUSAS: a speech under simulated and actual stress database. EUROSPEECH 1997: 1743-1746 - [c29]Sahar E. Bou-Ghazale, John H. L. Hansen:
A novel training approach for improving speech recognition under adverse stressful conditions. EUROSPEECH 1997: 2387-2390 - 1996
- [j16]Levent M. Arslan, John H. L. Hansen:
Language accent classification in American English. Speech Commun. 18(4): 353-367 (1996) - [j15]Sahar E. Bou-Ghazale, John H. L. Hansen:
Generating stressed speech from neutral speech using a modified CELP vocoder. Speech Commun. 20(1-2): 93-110 (1996) - [j14]Brian D. Womack, John H. L. Hansen:
Classification of speech under stress using target driven features. Speech Commun. 20(1-2): 131-150 (1996) - [j13]John H. L. Hansen:
Analysis and compensation of speech under stress and noise for environmental robustness in speech recognition. Speech Commun. 20(1-2): 151-173 (1996) - [j12]John H. L. Hansen, Brian D. Womack:
Feature analysis and neural network-based classification of speech under stress. IEEE Trans. Speech Audio Process. 4(4): 307-313 (1996) - [j11]Douglas A. Cairns, John H. L. Hansen, John E. Riski:
A noninvasive technique for detecting hypernasal speech using a nonlinear operator. IEEE Trans. Biomed. Eng. 43(1) (1996) - [j10]Liliana Gavidia-Ceballos, John H. L. Hansen:
Direct speech feature estimation using an iterative EM algorithm for vocal fold pathology detection. IEEE Trans. Biomed. Eng. 43(4): 373-383 (1996) - [c28]Brian D. Womack, John H. L. Hansen:
Improved speech recognition via speaker stress directed classification. ICASSP 1996: 53-56 - [c27]Levent M. Arslan, John H. L. Hansen:
Improved HMM training and scoring strategies with application to accent classification. ICASSP 1996: 589-592 - [c26]Bryan L. Pellom, John H. L. Hansen:
Text-directed speech enhancement using phoneme classification and feature map constrained vector quantization. ICASSP 1996: 645-648 - [c25]Liliana Gavidia-Ceballos, John H. L. Hansen, James F. Kaiser:
Vocal fold pathology assessment using AM autocorrelation analysis of the teager energy operator. ICSLP 1996: 757-760 - [c24]Eric J. Wallen, John H. L. Hansen:
A screening test for speech pathology assessment using objective quality measures. ICSLP 1996: 776-779 - [c23]Douglas A. Cairns, John H. L. Hansen, James F. Kaiser:
Recent advances in hypernasal speech detection using the nonlinear teager energy operator. ICSLP 1996: 780-783 - [c22]Sahar E. Bou-Ghazale, John H. L. Hansen:
Synthesis of stressed speech from isolated neutral speech using HMM-based models. ICSLP 1996: 1860-1863 - 1995
- [j9]John H. L. Hansen, Douglas A. Cairns:
ICARUS: Source generator based real-time recognition of speech in noisy stressful and Lombard effect environments. Speech Commun. 16(4): 391-422 (1995) - [j8]Srinivas Nandkumar, John H. L. Hansen:
Dual-channel iterative speech enhancement with constraints on an auditory-based spectrum. IEEE Trans. Speech Audio Process. 3(1): 22-34 (1995) - [j7]