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ORCIDChin-Hui Lee 0001
Person information
- affiliation: Georgia Institute of Technology, School of Electrical and Computer Engineering, USA
- affiliation (1981-2001): Bell Laboratories, Dialogue Systems Research Department, Murray Hill, New Jersey, NY, USA
Other persons with the same name
- Chin-Hui Lee — disambiguation page
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2020 – today
- 2024
[j60]Hang Chen
, Qing Wang, Jun Du, Bao-Cai Yin, Jia Pan, Chin-Hui Lee:
Optimizing Audio-Visual Speech Enhancement Using Multi-Level Distortion Measures for Audio-Visual Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2508-2521 (2024)- [j59]Zilu Guo, Qing Wang, Jun Du, Jia Pan, Qing-Feng Liu, Chin-Hui Lee:
A Variance-Preserving Interpolation Approach for Diffusion Models With Applications to Single Channel Speech Enhancement and Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3025-3038 (2024) - [j58]Hang Chen, Qing Wang, Jun Du, Genshun Wan, Shifu Xiong, Baocai Yin, Jia Pan, Chin-Hui Lee:
Collaborative Viseme Subword and End-to-End Modeling for Word-Level Lip Reading. IEEE Trans. Multim. 26: 9358-9371 (2024) - [c206]Hang Chen, Shilong Wu, Chenxi Wang, Jun Du, Chin-Hui Lee, Sabato Marco Siniscalchi, Shinji Watanabe, Jingdong Chen, Odette Scharenborg, Zhong-Qiu Wang, Bao-Cai Yin, Jia Pan:
Summary on the Multimodal Information-Based Speech Processing (MISP) 2023 Challenge. ICASSP Workshops 2024: 123-124 - [c205]Shilong Wu, Chenxi Wang, Hang Chen, Yusheng Dai, Chenyue Zhang, Ruoyu Wang, Hongbo Lan, Jun Du, Chin-Hui Lee, Jingdong Chen, Sabato Marco Siniscalchi, Odette Scharenborg, Zhong-Qiu Wang, Jia Pan, Jianqing Gao:
The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction. ICASSP 2024: 8351-8355 - [c204]Gaobin Yang, Maokui He, Shutong Niu, Ruoyu Wang, Yanyan Yue, Shuangqing Qian, Shilong Wu, Jun Du, Chin-Hui Lee:
Neural Speaker Diarization Using Memory-Aware Multi-Speaker Embedding with Sequence-to-Sequence Architecture. ICASSP 2024: 11626-11630 - [c203]Haotian Wang, Jun Du, Yusheng Dai, Chin-Hui Lee, Yuling Ren, Yu Liu:
Improving Multi-Modal Emotion Recognition Using Entropy-Based Fusion and Pruning-Based Network Architecture Optimization. ICASSP 2024: 11766-11770 - [c202]Hao Yen, Sabato Marco Siniscalchi, Chin-Hui Lee:
Boosting End-to-End Multilingual Phoneme Recognition Through Exploiting Universal Speech Attributes Constraints. ICASSP 2024: 11876-11880 - [c201]Feng Ma, Yanhui Tu, Maokui He, Ruoyu Wang, Shutong Niu, Lei Sun, Zhongfu Ye, Jun Du, Jia Pan, Chin-Hui Lee:
A Spatial Long-Term Iterative Mask Estimation Approach for Multi-Channel Speaker Diarization and Speech Recognition. ICASSP 2024: 12331-12335 - [c200]Chen-Yue Zhang, Hang Chen, Jun Du, Sabato Marco Siniscalchi, Ya Jiang, Chin-Hui Lee:
Summary on the Chat-Scenario Chinese Lipreading (ChatCLR) Challenge. ICME Workshops 2024: 1-6 - [i44]Hu Hu, Sabato Marco Siniscalchi, Chin-Hui Lee:
Bayesian adaptive learning to latent variables via Variational Bayes and Maximum a Posteriori. CoRR abs/2401.13766 (2024) - [i43]Yusheng Dai, Hang Chen, Jun Du, Ruoyu Wang, Shihao Chen, Jiefeng Ma, Haotian Wang, Chin-Hui Lee:
A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition. CoRR abs/2403.04245 (2024) - [i42]Hao Yen, Pin-Jui Ku, Sabato Marco Siniscalchi, Chin-Hui Lee:
Language-Universal Speech Attributes Modeling for Zero-Shot Multilingual Spoken Keyword Recognition. CoRR abs/2406.02488 (2024) - [i41]Ming Gao, Hang Chen, Jun Du, Xin Xu, Hongxiao Guo, Hui Bu, Jianxing Yang, Ming Li, Chin-Hui Lee:
Enhancing Voice Wake-Up for Dysarthria: Mandarin Dysarthria Speech Corpus Release and Customized System Design. CoRR abs/2406.10304 (2024) - 2023
- [j57]Shi Cheng, Jun Du, Shutong Niu, Alejandrina Cristià, Xin Wang, Qing Wang, Chin-Hui Lee:
Using iterative adaptation and dynamic mask for child speech extraction under real-world multilingual conditions. Speech Commun. 152: 102956 (2023) - [j56]Li Chai, Hang Chen, Jun Du, Qing-Feng Liu, Chin-Hui Lee:
Space-and-speaker-aware acoustic modeling with effective data augmentation for recognition of multi-array conversational speech. Speech Commun. 153: 102958 (2023) - [j55]Shutong Niu, Jun Du, Lei Sun, Yu Hu, Chin-Hui Lee:
QDM-SSD: Quality-Aware Dynamic Masking for Separation-Based Speaker Diarization. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1037-1049 (2023) - [j54]Qing Wang, Jun Du, Huaxin Wu, Jia Pan, Feng Ma, Chin-Hui Lee:
A Four-Stage Data Augmentation Approach to ResNet-Conformer Based Acoustic Modeling for Sound Event Localization and Detection. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1251-1264 (2023) - [j53]Mao-Kui He, Jun Du, Qing-Feng Liu, Chin-Hui Lee:
ANSD-MA-MSE: Adaptive Neural Speaker Diarization Using Memory-Aware Multi-Speaker Embedding. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1561-1573 (2023) - [c199]Hang Chen, Jun Du, Zhe Wang, Chenxi Wang, Yuling Ren, Qinglong Li, Ruibo Liu, Chin-Hui Lee:
Correlated Multi-Level Speech Enhancement for Robust Real-World ASR Applications Using Mask-Waveform-Feature Optimization. APSIPA ASC 2023: 96-101 - [c198]Chang Wang, Jun Du, Hang Chen, Ruoyu Wang, Chao-Han Huck Yang, Jiangjiang Zhao, Yuling Ren, Qinglong Li, Chin-Hui Lee:
Enhancing Privacy Preservation with Quantum Computing for Word-Level Audio-Visual Speech Recognition. APSIPA ASC 2023: 635-642 - [c197]Shi Cheng, Jun Du, Qing Wang, Ya Jiang, Zhaoxu Nian, Shutong Niu, Chin-Hui Lee, Yu Gao, Wenbin Zhang:
Improving Sound Event Localization and Detection with Class-Dependent Sound Separation for Real-World Scenarios. APSIPA ASC 2023: 2068-2073 - [c196]Shilong Wu, Jun Du, Mao-Kui He, Shutong Niu, Hang Chen, Haitao Tang, Chin-Hui Lee:
Semi-Supervised Multi-Channel Speaker Diarization With Cross-Channel Attention. ASRU 2023: 1-8 - [c195]Hang Chen, Shilong Wu, Yusheng Dai, Zhe Wang, Jun Du, Chin-Hui Lee, Jingdong Chen, Shinji Watanabe, Sabato Marco Siniscalchi, Odette Scharenborg, Diyuan Liu, Bao-Cai Yin, Jia Pan, Jianqing Gao, Cong Liu:
Summary on the Multimodal Information Based Speech Processing (MISP) 2022 Challenge. ICASSP 2023: 1-2 - [c194]Ya Jiang, Hang Chen, Jun Du, Qing Wang, Chin-Hui Lee:
Incorporating Lip Features into Audio-Visual Multi-Speaker DOA Estimation by Gated Fusion. ICASSP 2023: 1-5 - [c193]Shutong Niu, Jun Du, Qing Wang, Li Chai, Huaxin Wu, Zhaoxu Nian, Lei Sun, Yi Fang, Jia Pan, Chin-Hui Lee:
An Experimental Study on Sound Event Localization and Detection Under Realistic Testing Conditions. ICASSP 2023: 1-5 - [c192]Qing Wang, Jun Du, Zhaoxu Nian, Shutong Niu, Li Chai, Huaxin Wu, Jia Pan, Chin-Hui Lee:
Loss Function Design for DNN-Based Sound Event Localization and Detection on Low-Resource Realistic Data. ICASSP 2023: 1-5 - [c191]Zhe Wang, Shilong Wu, Hang Chen, Mao-Kui He, Jun Du, Chin-Hui Lee, Jingdong Chen, Shinji Watanabe, Sabato Marco Siniscalchi, Odette Scharenborg, Diyuan Liu, Baocai Yin, Jia Pan, Jianqing Gao, Cong Liu:
The Multimodal Information Based Speech Processing (Misp) 2022 Challenge: Audio-Visual Diarization And Recognition. ICASSP 2023: 1-5 - [c190]Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Tara N. Sainath, Sabato Marco Siniscalchi, Chin-Hui Lee:
A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition. ICASSP 2023: 1-5 - [c189]Chenyue Zhang, Hang Chen, Jun Du, Bao-Cai Yin, Jia Pan, Chin-Hui Lee:
Incorporating Visual Information Reconstruction into Progressive Learning for Optimizing audio-visual Speech Enhancement. ICASSP 2023: 1-5 - [c188]Yusheng Dai, Hang Chen, Jun Du, Xiaofei Ding, Ning Ding, Feijun Jiang, Chin-Hui Lee:
Improving Audio-Visual Speech Recognition by Lip-Subword Correlation Based Visual Pre-training and Cross-Modal Fusion Encoder. ICME 2023: 2627-2632 - [c187]Gaobin Yang, Jun Du, Maokui He, Shutong Niu, Baoxiang Li, Jiakui Li, Chin-Hui Lee:
AD-TUNING: An Adaptive CHILD-TUNING Approach to Efficient Hyperparameter Optimization of Child Networks for Speech Processing Tasks in the SUPERB Benchmark. INTERSPEECH 2023: 421-425 - [c186]Zilu Guo, Jun Du, Chin-Hui Lee, Yu Gao, Wenbin Zhang:
Variance-Preserving-Based Interpolation Diffusion Models for Speech Enhancement. INTERSPEECH 2023: 1065-1069 - [c185]Pin-Jui Ku, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee:
A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models. INTERSPEECH 2023: 2453-2457 - [c184]Haotian Wang, Jun Du, Hengshun Zhou, Chin-Hui Lee, Yuling Ren, Jiangjiang Zhao:
A Multiple-Teacher Pruning Based Self-Distillation (MT-PSD) Approach to Model Compression for Audio-Visual Wake Word Spotting. INTERSPEECH 2023: 2678-2682 - [c183]Shutong Niu, Jun Du, Maokui He, Chin-Hui Lee, Baoxiang Li, Jiakui Li:
Unsupervised Adaptation with Quality-Aware Masking to Improve Target-Speaker Voice Activity Detection for Speaker Diarization. INTERSPEECH 2023: 3482-3486 - [i40]Zhe Wang, Shilong Wu, Hang Chen, Mao-Kui He, Jun Du, Chin-Hui Lee, Jingdong Chen, Shinji Watanabe, Sabato Marco Siniscalchi, Odette Scharenborg, Diyuan Liu, Baocai Yin, Jia Pan, Jianqing Gao, Cong Liu:
The Multimodal Information based Speech Processing (MISP) 2022 Challenge: Audio-Visual Diarization and Recognition. CoRR abs/2303.06326 (2023) - [i39]Pin-Jui Ku, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee:
A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models. CoRR abs/2306.00331 (2023) - [i38]Zilu Guo, Jun Du, Chin-Hui Lee, Yu Gao, Wenbin Zhang:
Variance-Preserving-Based Interpolation Diffusion Models for Speech Enhancement. CoRR abs/2306.08527 (2023) - [i37]Yusheng Dai, Hang Chen, Jun Du, Xiaofei Ding, Ning Ding, Feijun Jiang, Chin-Hui Lee:
Improving Audio-Visual Speech Recognition by Lip-Subword Correlation Based Visual Pre-training and Cross-Modal Fusion Encoder. CoRR abs/2308.08488 (2023) - [i36]Ruoyu Wang, Maokui He, Jun Du, Hengshun Zhou, Shutong Niu, Hang Chen, Yanyan Yue, Gaobin Yang, Shilong Wu, Lei Sun, Yanhui Tu, Haitao Tang, Shuangqing Qian, Tian Gao, Mengzhi Wang, Genshun Wan, Jia Pan, Jianqing Gao, Chin-Hui Lee:
The USTC-NERCSLIP Systems for the CHiME-7 DASR Challenge. CoRR abs/2308.14638 (2023) - [i35]Shilong Wu, Chenxi Wang, Hang Chen, Yusheng Dai, Chenyue Zhang, Ruoyu Wang, Hongbo Lan, Jun Du, Chin-Hui Lee, Jingdong Chen, Shinji Watanabe, Sabato Marco Siniscalchi, Odette Scharenborg, Zhong-Qiu Wang, Jia Pan, Jianqing Gao:
The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction. CoRR abs/2309.08348 (2023) - [i34]Hao Yen, Sabato Marco Siniscalchi, Chin-Hui Lee:
Boosting End-to-End Multilingual Phoneme Recognition through Exploiting Universal Speech Attributes Constraints. CoRR abs/2309.08828 (2023) - [i33]Gaobin Yang, Maokui He, Shutong Niu, Ruoyu Wang, Yanyan Yue, Shuangqing Qian, Shilong Wu, Jun Du, Chin-Hui Lee:
Neural Speaker Diarization Using Memory-Aware Multi-Speaker Embedding with Sequence-to-Sequence Architecture. CoRR abs/2309.09180 (2023) - 2022
- [c182]Hu Hu, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Chin-Hui Lee:
A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer. ICASSP 2022: 4041-4045 - [c181]Hengshun Zhou, Jun Du, Chao-Han Huck Yang, Shifu Xiong, Chin-Hui Lee:
A Study of Designing Compact Audio-Visual Wake Word Spotting System Based on Iterative Fine-Tuning in Neural Network Pruning. ICASSP 2022: 7572-7576 - [c180]Shutong Niu, Jun Du, Lei Sun, Chin-Hui Lee:
Improving Separation-Based Speaker Diarization Via Iterative Model Refinement And Speaker Embedding Based Post-Processing. ICASSP 2022: 8387-8391 - [c179]Maokui He, Xiang Lv, Weilin Zhou, Jingjing Yin, Xiaoqi Zhang, Yuxuan Wang, Shutong Niu, Yuhang Cao, Heng Lu, Jun Du, Chin-Hui Lee:
The USTC-Ximalaya System for the ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription (M2met) Challenge. ICASSP 2022: 9166-9170 - [c178]Hang Chen, Hengshun Zhou, Jun Du, Chin-Hui Lee, Jingdong Chen, Shinji Watanabe, Sabato Marco Siniscalchi, Odette Scharenborg, Diyuan Liu, Bao-Cai Yin, Jia Pan, Jianqing Gao, Cong Liu:
The First Multimodal Information Based Speech Processing (Misp) Challenge: Data, Tasks, Baselines And Results. ICASSP 2022: 9266-9270 - [c177]Hengshun Zhou, Jun Du, Gongzhen Zou, Zhaoxu Nian, Chin-Hui Lee, Sabato Marco Siniscalchi, Shinji Watanabe, Odette Scharenborg, Jingdong Chen, Shifu Xiong, Jianqing Gao:
Audio-Visual Wake Word Spotting in MISP2021 Challenge: Dataset Release and Deep Analysis. INTERSPEECH 2022: 1111-1115 - [c176]Mao-Kui He, Jun Du, Chin-Hui Lee:
End-to-End Audio-Visual Neural Speaker Diarization. INTERSPEECH 2022: 1461-1465 - [c175]Hang Chen, Jun Du, Yusheng Dai, Chin-Hui Lee, Sabato Marco Siniscalchi, Shinji Watanabe, Odette Scharenborg, Jingdong Chen, Baocai Yin, Jia Pan:
Audio-Visual Speech Recognition in MISP2021 Challenge: Dataset Release and Deep Analysis. INTERSPEECH 2022: 1766-1770 - [c174]Yajian Wang, Jun Du, Hang Chen, Qing Wang, Chin-Hui Lee:
Deep Segment Model for Acoustic Scene Classification. INTERSPEECH 2022: 4177-4181 - [c173]Chao-Han Huck Yang, Jun Qi, Sabato Marco Siniscalchi, Chin-Hui Lee:
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition. ISCSLP 2022: 1-5 - [c172]Qing Wang, Hang Chen, Ya Jiang, Zhe Wang, Yuyang Wang, Jun Du, Chin-Hui Lee:
Deep Learning Based Audio-Visual Multi-Speaker DOA Estimation Using Permutation-Free Loss Function. ISCSLP 2022: 250-254 - [c171]Qing Wang, Jun Du, Siyuan Zheng, Yunqing Li, Yajian Wang, Yuzhong Wu, Hu Hu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Yannan Wang, Chin-Hui Lee:
A Study on Joint Modeling and Data Augmentation of Multi-Modalities for Audio-Visual Scene Classification. ISCSLP 2022: 453-457 - [c170]Chao-Han Huck Yang, I-Fan Chen, Andreas Stolcke, Sabato Marco Siniscalchi, Chin-Hui Lee:
An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition. SLT 2022: 1074-1080 - [i32]Maokui He, Xiang Lv, Weilin Zhou, Jingjing Yin, Xiaoqi Zhang, Yuxuan Wang, Shutong Niu, Yuhang Cao, Heng Lu, Jun Du, Chin-Hui Lee:
The USTC-Ximalaya system for the ICASSP 2022 multi-channel multi-party meeting transcription (M2MeT) challenge. CoRR abs/2202.04855 (2022) - [i31]Hengshun Zhou, Jun Du, Chao-Han Huck Yang, Shifu Xiong, Chin-Hui Lee:
A Study of Designing Compact Audio-Visual Wake Word Spotting System Based on Iterative Fine-Tuning in Neural Network Pruning. CoRR abs/2202.08509 (2022) - [i30]Qing Wang, Jun Du, Siyuan Zheng, Yunqing Li, Yajian Wang, Yuzhong Wu, Hu Hu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Yannan Wang, Chin-Hui Lee:
A study on joint modeling and data augmentation of multi-modalities for audio-visual scene classification. CoRR abs/2203.04114 (2022) - [i29]Chao-Han Huck Yang, I-Fan Chen, Andreas Stolcke, Sabato Marco Siniscalchi, Chin-Hui Lee:
An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition. CoRR abs/2210.05614 (2022) - [i28]Chao-Han Huck Yang, Jun Qi, Sabato Marco Siniscalchi, Chin-Hui Lee:
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition. CoRR abs/2210.06382 (2022) - [i27]Qing Wang, Hang Chen, Ya Jiang, Zhe Wang, Yuyang Wang, Jun Du, Chin-Hui Lee:
Deep Learning Based Audio-Visual Multi-Speaker DOA Estimation Using Permutation-Free Loss Function. CoRR abs/2210.14581 (2022) - [i26]Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Tara N. Sainath, Sabato Marco Siniscalchi, Chin-Hui Lee:
A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition. CoRR abs/2211.01263 (2022) - 2021
- [j52]Hang Chen, Jun Du, Yu Hu, Li-Rong Dai, Bao-Cai Yin, Chin-Hui Lee:
Correlating subword articulation with lip shapes for embedding aware audio-visual speech enhancement. Neural Networks 143: 171-182 (2021) - [j51]Li Chai, Jun Du, Qing-Feng Liu, Chin-Hui Lee:
A Cross-Entropy-Guided Measure (CEGM) for Assessing Speech Recognition Performance and Optimizing DNN-Based Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 29: 106-117 (2021) - [j50]Hengshun Zhou, Jun Du, Yuanyuan Zhang, Qing Wang, Qing-Feng Liu, Chin-Hui Lee:
Information Fusion in Attention Networks Using Adaptive and Multi-Level Factorized Bilinear Pooling for Audio-Visual Emotion Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2617-2629 (2021) - [c169]Koen Oostermeijer, Jun Du, Qing Wang, Chin-Hui Lee:
Speech Enhancement Autoencoder with Hierarchical Latent Structure. ICASSP 2021: 671-675 - [c168]Hu Hu, Chao-Han Huck Yang, Xianjun Xia, Xue Bai, Xin Tang, Yajian Wang, Shutong Niu, Li Chai, Juanjuan Li, Hongning Zhu, Feng Bao, Yuanjun Zhao, Sabato Marco Siniscalchi, Yannan Wang, Jun Du, Chin-Hui Lee:
A Two-Stage Approach to Device-Robust Acoustic Scene Classification. ICASSP 2021: 845-849 - [c167]Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee:
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition. ICASSP 2021: 6523-6527 - [c166]Zhaoxu Nian, Yan-Hui Tu, Jun Du, Chin-Hui Lee:
A Progressive Learning Approach to Adaptive Noise and Speech Estimation for Speech Enhancement and Noisy Speech Recognition. ICASSP 2021: 6913-6917 - [c165]Hengshun Zhou, Jun Du, Hang Chen, Zijun Jing, Shifu Xiong, Chin-Hui Lee:
Audio-Visual Information Fusion Using Cross-Modal Teacher-Student Learning for Voice Activity Detection in Realistic Environments. Interspeech 2021: 341-345 - [c164]Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee:
PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification. Interspeech 2021: 881-885 - [c163]Xiaoqi Zhang, Jun Du, Li Chai, Chin-Hui Lee:
A Maximum Likelihood Approach to SNR-Progressive Learning Using Generalized Gaussian Distribution for LSTM-Based Speech Enhancement. Interspeech 2021: 2701-2705 - [c162]Hang Chen, Jun Du, Yu Hu, Li-Rong Dai, Bao-Cai Yin, Chin-Hui Lee:
Automatic Lip-Reading with Hierarchical Pyramidal Convolution and Self-Attention for Image Sequences with No Word Boundaries. Interspeech 2021: 3001-3005 - [c161]Yu-Xuan Wang, Jun Du, Maokui He, Shutong Niu, Lei Sun, Chin-Hui Lee:
Scenario-Dependent Speaker Diarization for DIHARD-III Challenge. Interspeech 2021: 3106-3110 - [c160]Qing Wang, Huaxin Wu, Zijun Jing, Feng Ma, Yi Fang, Yuxuan Wang, Tairan Chen, Jia Pan, Jun Du, Chin-Hui Lee:
A Model Ensemble Approach for Sound Event Localization and Detection. ISCSLP 2021: 1-5 - [c159]Siyuan Zheng, Jun Du, Hengshun Zhou, Xue Bai, Chin-Hui Lee, Shipeng Li:
Speech Emotion Recognition Based on Acoustic Segment Model. ISCSLP 2021: 1-5 - [c158]Li Chai, Jun Du, Diyuan Liu, Yanhui Tu, Chin-Hui Lee:
Acoustic Modeling for Multi-Array Conversational Speech Recognition in the Chime-6 Challenge. SLT 2021: 912-918 - [i25]Qing Wang, Jun Du, Huaxin Wu, Jia Pan, Feng Ma, Chin-Hui Lee:
A Four-Stage Data Augmentation Approach to ResNet-Conformer Based Acoustic Modeling for Sound Event Localization and Detection. CoRR abs/2101.02919 (2021) - [i24]Yuxuan Wang, Mao-Kui He, Shutong Niu, Lei Sun, Tian Gao, Xin Fang, Jia Pan, Jun Du, Chin-Hui Lee:
USTC-NELSLIP System Description for DIHARD-III Challenge. CoRR abs/2103.10661 (2021) - [i23]Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee:
PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification. CoRR abs/2104.01271 (2021) - [i22]Chao-Han Huck Yang, Hu Hu, Sabato Marco Siniscalchi, Qing Wang, Yuyang Wang, Xianjun Xia, Yuanjun Zhao, Yuzhong Wu, Yannan Wang, Jun Du, Chin-Hui Lee:
A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification. CoRR abs/2107.01461 (2021) - [i21]Shutong Niu, Jun Du, Lei Sun, Chin-Hui Lee:
Separation Guided Speaker Diarization in Realistic Mismatched Conditions. CoRR abs/2107.02357 (2021) - [i20]Hu Hu, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Chin-Hui Lee:
A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer. CoRR abs/2110.08598 (2021) - [i19]Hengshun Zhou, Jun Du, Yuanyuan Zhang, Qing Wang, Qing-Feng Liu, Chin-Hui Lee:
Information Fusion in Attention Networks Using Adaptive and Multi-level Factorized Bilinear Pooling for Audio-visual Emotion Recognition. CoRR abs/2111.08910 (2021) - 2020
- [j49]Jun Qi, Jun Du, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee:
On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression. IEEE Signal Process. Lett. 27: 1485-1489 (2020) - [j48]Yanhui Tu, Jun Du, Tian Gao, Chin-Hui Lee:
A Multi-Target SNR-Progressive Learning Approach to Regression Based Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1608-1619 (2020) - [j47]Jun Qi, Jun Du, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee:
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network-Based Vector-to-Vector Regression. IEEE Trans. Signal Process. 68: 3411-3422 (2020) - [c157]Jun Qi, Xiaoli Ma, Chin-Hui Lee, Jun Du, Sabato Marco Siniscalchi:
Performance Analysis for Tensor-Train Decomposition to Deep Neural Network Based Vector-to-Vector Regression. CISS 2020: 1-6 - [c156]Xue Bai, Jun Du, Jia Pan, Hengshun Zhou, Yanhui Tu, Chin-Hui Lee:
High-Resolution Attention Network with Acoustic Segment Model for Acoustic Scene Classification. ICASSP 2020: 656-660 - [c155]Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, Chin-Hui Lee:
Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement. ICASSP 2020: 3107-3111 - [c154]Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Yi Ouyang, I-Te Danny Hung, Chin-Hui Lee, Xiaoli Ma:
Enhanced Adversarial Strategically-Timed Attacks Against Deep Reinforcement Learning. ICASSP 2020: 3407-3411 - [c153]Sicheng Wang, Wei Li, Sabato Marco Siniscalchi, Chin-Hui Lee:
A Cross-Task Transfer Learning Approach to Adapting Deep Speech Enhancement Models to Unseen Background Noise Using Paired Senone Classifiers. ICASSP 2020: 6219-6223 - [c152]Shutong Niu, Jun Du, Li Chai, Chin-Hui Lee:
A Maximum Likelihood Approach to Multi-Objective Learning Using Generalized Gaussian Distributions for Dnn-Based Speech Enhancement. ICASSP 2020: 6229-6233 - [c151]Yanhui Tu, Jun Du, Chin-Hui Lee:
2D-to-2D Mask Estimation for Speech Enhancement Based on Fully Convolutional Neural Network. ICASSP 2020: 6664-6668 - [c150]Lei Sun, Jun Du, Xueyang Zhang, Tian Gao, Xin Fang, Chin-Hui Lee:
Progressive Multi-Target Network Based Speech Enhancement with Snr-Preselection for Robust Speaker Diarization. ICASSP 2020: 7099-7103 - [c149]Xin Wang, Jun Du, Alejandrina Cristià, Lei Sun, Chin-Hui Lee:
A Study of Child Speech Extraction Using Joint Speech Enhancement and Separation in Realistic Conditions. ICASSP 2020: 7304-7308 - [c148]Zhong Meng, Hu Hu, Jinyu Li, Changliang Liu, Yan Huang, Yifan Gong, Chin-Hui Lee:
L-Vector: Neural Label Embedding for Domain Adaptation. ICASSP 2020: 7389-7393 - [c147]Jun Qi, Hu Hu, Yannan Wang, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee:
Tensor-To-Vector Regression for Multi-Channel Speech Enhancement Based on Tensor-Train Network. ICASSP 2020: 7504-7508 - [c146]Xin Tang, Jun Du, Li Chai, Yannan Wang, Qing Wang, Chin-Hui Lee:
Geometry Constrained Progressive Learning for Lstm-Based Speech Enhancement. ICASSP 2020: 7514-7518 - [c145]Jun Qi, Hu Hu, Yannan Wang, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee:
Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement. INTERSPEECH 2020: 76-80 - [c144]Yanhui Tu, Jun Du, Lei Sun, Feng Ma, Jia Pan, Chin-Hui Lee:
A Space-and-Speaker-Aware Iterative Mask Estimation Approach to Multi-Channel Speech Recognition in the CHiME-6 Challenge. INTERSPEECH 2020: 96-100 - [c143]Hu Hu, Sabato Marco Siniscalchi, Yannan Wang, Chin-Hui Lee:
Relational Teacher Student Learning with Neural Label Embedding for Device Adaptation in Acoustic Scene Classification. INTERSPEECH 2020: 1196-1200 - [c142]