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2020 – today
- 2024
[j94]Manila Kodali
, Sudarsana Reddy Kadiri, Paavo Alku:
Automatic classification of the severity level of Parkinson's disease: A comparison of speaking tasks, features, and classifiers. Comput. Speech Lang. 83: 101548 (2024)- [j93]Sudarsana Reddy Kadiri, Farhad Javanmardi, Paavo Alku:
Investigation of self-supervised pre-trained models for classification of voice quality from speech and neck surface accelerometer signals. Comput. Speech Lang. 83: 101550 (2024) - [j92]Farhad Javanmardi, Sudarsana Reddy Kadiri, Paavo Alku:
A comparison of data augmentation methods in voice pathology detection. Comput. Speech Lang. 83: 101552 (2024) - [j91]Paavo Alku, Manila Kodali, Laura Laaksonen, Sudarsana Reddy Kadiri:
AVID: A speech database for machine learning studies on vocal intensity. Speech Commun. 157: 103039 (2024) - [j90]Yagnavajjula Madhu Keerthana, Mittapalle Kiran Reddy, Paavo Alku, K. Sreenivasa Rao, Pabitra Mitra:
Automatic classification of neurological voice disorders using wavelet scattering features. Speech Commun. 157: 103040 (2024) - [j89]Farhad Javanmardi, Sudarsana Reddy Kadiri, Paavo Alku:
Pre-trained models for detection and severity level classification of dysarthria from speech. Speech Commun. 158: 103047 (2024) - [j88]Farhad Javanmardi, Sudarsana Reddy Kadiri, Paavo Alku:
Exploring the Impact of Fine-Tuning the Wav2vec2 Model in Database-Independent Detection of Dysarthric Speech. IEEE J. Biomed. Health Informatics 28(8): 4951-4962 (2024) - [i16]Anne-Maria Laukkanen, Sudarsana Reddy Kadiri, Shrikanth Narayanan, Paavo Alku:
Can a Machine Distinguish High and Low Amount of Social Creak in Speech? CoRR abs/2410.17028 (2024) - 2023
- [j87]Sudarsana Reddy Kadiri, Paavo Alku, B. Yegnanarayana:
Analysis of Instantaneous Frequency Components of Speech Signals for Epoch Extraction. Comput. Speech Lang. 78: 101443 (2023) - [j86]Paavo Alku, Sudarsana Reddy Kadiri, Dhananjaya Gowda:
Refining a deep learning-based formant tracker using linear prediction methods. Comput. Speech Lang. 81: 101515 (2023) - [j85]Mittapalle Kiran Reddy, Yagnavajjula Madhu Keerthana, Paavo Alku:
Classification of functional dysphonia using the tunable Q wavelet transform. Speech Commun. 155: 102989 (2023) - [j84]Yuanyuan Liu, Mittapalle Kiran Reddy, Nelly Penttilä, Tiina Ihalainen, Paavo Alku, Okko Räsänen:
Automatic Assessment of Parkinson's Disease Using Speech Representations of Phonation and Articulation. IEEE ACM Trans. Audio Speech Lang. Process. 31: 242-255 (2023) - [j83]Mittapalle Kiran Reddy, Paavo Alku:
Exemplar-Based Sparse Representations for Detection of Parkinson's Disease From Speech. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1386-1396 (2023) - [c161]Farhad Javanmardi, Saska Tirronen, Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku:
Wav2vec-Based Detection and Severity Level Classification of Dysarthria From Speech. ICASSP 2023: 1-5 - [c160]Manila Kodali, Sudarsana Reddy Kadiri, Laura Laaksonen, Paavo Alku:
Automatic Classification of Vocal Intensity Category from Speech. ICASSP 2023: 1-5 - [c159]Saska Tirronen, Farhad Javanmardi, Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku:
Utilizing Wav2Vec In Database-Independent Voice Disorder Detection. ICASSP 2023: 1-5 - [c158]Sudarsana Reddy Kadiri, Manila Kodali, Paavo Alku:
Severity Classification of Parkinson's Disease from Speech using Single Frequency Filtering-based Features. INTERSPEECH 2023: 2393-2397 - [c157]Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku:
Classification of Vocal Intensity Category from Speech using the Wav2vec2 and Whisper Embeddings. INTERSPEECH 2023: 4134-4138 - [i15]Sudarsana Reddy Kadiri, Farhad Javanmardi, Paavo Alku:
Investigation of Self-supervised Pre-trained Models for Classification of Voice Quality from Speech and Neck Surface Accelerometer Signals. CoRR abs/2308.03226 (2023) - [i14]Sudarsana Reddy Kadiri, Manila Kodali, Paavo Alku:
Severity Classification of Parkinson's Disease from Speech using Single Frequency Filtering-based Features. CoRR abs/2308.09042 (2023) - [i13]Paavo Alku, Sudarsana Reddy Kadiri, Dhananjaya Gowda:
Refining a Deep Learning-based Formant Tracker using Linear Prediction Methods. CoRR abs/2308.09051 (2023) - [i12]Dhananjaya Gowda, Sudarsana Reddy Kadiri, Brad H. Story, Paavo Alku:
Time-Varying Quasi-Closed-Phase Analysis for Accurate Formant Tracking in Speech Signals. CoRR abs/2308.16540 (2023) - [i11]Sudarsana Reddy Kadiri, Paavo Alku:
Analysis and Detection of Pathological Voice using Glottal Source Features. CoRR abs/2309.14080 (2023) - [i10]Farhad Javanmardi, Saska Tirronen, Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku:
Wav2vec-based Detection and Severity Level Classification of Dysarthria from Speech. CoRR abs/2309.14107 (2023) - 2022
- [j82]Sudarsana Reddy Kadiri, Paavo Alku:
Subjective Evaluation of Basic Emotions from Audio-Visual Data. Sensors 22(13): 4931 (2022) - [j81]Hemant Kumar Kathania, Sudarsana Reddy Kadiri, Paavo Alku, Mikko Kurimo:
A formant modification method for improved ASR of children's speech. Speech Commun. 136: 98-106 (2022) - [j80]Mittapalle Kiran Reddy, Hilla Pohjalainen, Pyry Helkkula, Kasimir Kaitue, Mikko Minkkinen, Heli Tolppanen, Tuomo Nieminen, Paavo Alku:
Glottal flow characteristics in vowels produced by speakers with heart failure. Speech Commun. 137: 35-43 (2022) - [j79]Mittapalle Kiran Reddy, Yagnavajjula Madhu Keerthana, Paavo Alku:
End-to-End Pathological Speech Detection Using Wavelet Scattering Network. IEEE Signal Process. Lett. 29: 1863-1867 (2022) - [c156]Farhad Javanmardi, Sudarsana Reddy Kadiri, Manila Kodali, Paavo Alku:
Comparing 1-dimensional and 2-dimensional spectral feature representations in voice pathology detection using machine learning and deep learning classifiers. INTERSPEECH 2022: 2173-2177 - [c155]Sudarsana Reddy Kadiri, Farhad Javanmardi, Paavo Alku:
Convolutional Neural Networks for Classification of Voice Qualities from Speech and Neck Surface Accelerometer Signals. INTERSPEECH 2022: 5253-5257 - [i9]Dhananjaya Gowda, Bajibabu Bollepalli, Sudarsana Reddy Kadiri, Paavo Alku:
Formant Tracking Using Quasi-Closed Phase Forward-Backward Linear Prediction Analysis and Deep Neural Networks. CoRR abs/2201.01525 (2022) - 2021
- [j78]Mittapalle Kiran Reddy, Paavo Alku:
A Comparison of Cepstral Features in the Detection of Pathological Voices by Varying the Input and Filterbank of the Cepstrum Computation. IEEE Access 9: 135953-135963 (2021) - [j77]Dhananjaya N. Gowda, Bajibabu Bollepalli, Sudarsana Reddy Kadiri, Paavo Alku:
Formant Tracking Using Quasi-Closed Phase Forward-Backward Linear Prediction Analysis and Deep Neural Networks. IEEE Access 9: 151631-151640 (2021) - [j76]N. P. Narendra, Paavo Alku:
Automatic assessment of intelligibility in speakers with dysarthria from coded telephone speech using glottal features. Comput. Speech Lang. 65: 101117 (2021) - [j75]Mittapalle Kiran Reddy, Pyry Helkkula, Yagnavajjula Madhu Keerthana, Kasimir Kaitue, Mikko Minkkinen, Heli Tolppanen, Tuomo Nieminen, Paavo Alku:
The automatic detection of heart failure using speech signals. Comput. Speech Lang. 69: 101205 (2021) - [j74]Sudarsana Reddy Kadiri, Paavo Alku:
Glottal features for classification of phonation type from speech and neck surface accelerometer signals. Comput. Speech Lang. 70: 101232 (2021) - [j73]Sudarsana Reddy Kadiri, Paavo Alku, Bayya Yegnanarayana:
Extraction and Utilization of Excitation Information of Speech: A Review. Proc. IEEE 109(12): 1920-1941 (2021) - [j72]N. P. Narendra, Björn W. Schuller, Paavo Alku:
The Detection of Parkinson's Disease From Speech Using Voice Source Information. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1925-1936 (2021) - [c154]Hemant Kumar Kathania, Sudarsana Reddy Kadiri, Paavo Alku, Mikko Kurimo:
Spectral modification for recognition of children's speech undermismatched conditions. NoDaLiDa 2021: 94-100 - 2020
- [j71]Mittapalle Kiran Reddy, Paavo Alku, Krothapalli Sreenivasa Rao:
Detection of Specific Language Impairment in Children Using Glottal Source Features. IEEE Access 8: 15273-15279 (2020) - [j70]Sudarsana Reddy Kadiri, Paavo Alku:
Excitation Features of Speech for Speaker-Specific Emotion Detection. IEEE Access 8: 60382-60391 (2020) - [j69]N. P. Narendra, Paavo Alku:
Glottal Source Information for Pathological Voice Detection. IEEE Access 8: 67745-67755 (2020) - [j68]Rashmi Kethireddy, Sudarsana Reddy Kadiri, Paavo Alku, Suryakanth V. Gangashetty:
Mel-Weighted Single Frequency Filtering Spectrogram for Dialect Identification. IEEE Access 8: 174871-174879 (2020) - [j67]Xin Wang, Junichi Yamagishi, Massimiliano Todisco, Héctor Delgado, Andreas Nautsch, Nicholas W. D. Evans, Md. Sahidullah, Ville Vestman, Tomi Kinnunen, Kong Aik Lee, Lauri Juvela, Paavo Alku, Yu-Huai Peng, Hsin-Te Hwang, Yu Tsao, Hsin-Min Wang, Sébastien Le Maguer, Markus Becker, Zhen-Hua Ling:
ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech. Comput. Speech Lang. 64: 101114 (2020) - [j66]Sudarsana Reddy Kadiri, P. Gangamohan, Suryakanth V. Gangashetty, Paavo Alku, B. Yegnanarayana:
Excitation Features of Speech for Emotion Recognition Using Neutral Speech as Reference. Circuits Syst. Signal Process. 39(9): 4459-4481 (2020) - [j65]Sudarsana Reddy Kadiri, Paavo Alku:
Analysis and Detection of Pathological Voice Using Glottal Source Features. IEEE J. Sel. Top. Signal Process. 14(2): 367-379 (2020) - [j64]Sudarsana Reddy Kadiri, Paavo Alku, B. Yegnanarayana:
Analysis and classification of phonation types in speech and singing voice. Speech Commun. 118: 33-47 (2020) - [j63]N. P. Narendra, Paavo Alku:
Automatic intelligibility assessment of dysarthric speech using glottal parameters. Speech Commun. 123: 1-9 (2020) - [j62]Krishna Gurugubelli, Anil Kumar Vuppala, N. P. Narendra, Paavo Alku:
Duration of the rhotic approximant /ɹ/ in spastic dysarthria of different severity levels. Speech Commun. 125: 61-68 (2020) - [j61]Dhananjaya N. Gowda, Sudarsana Reddy Kadiri, Brad H. Story, Paavo Alku:
Time-Varying Quasi-Closed-Phase Analysis for Accurate Formant Tracking in Speech Signals. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1901-1914 (2020) - [c153]Sudarsana Reddy Kadiri, Paavo Alku, B. Yegnanarayana:
Comparison of Glottal Closure Instants Detection Algorithms for Emotional Speech. ICASSP 2020: 7379-7383 - [c152]Hemant Kumar Kathania, Sudarsana Reddy Kadiri, Paavo Alku, Mikko Kurimo:
Study of Formant Modification for Children ASR. ICASSP 2020: 7429-7433 - [c151]Sudarsana Reddy Kadiri, Rashmi Kethireddy, Paavo Alku:
Parkinson's Disease Detection from Speech Using Single Frequency Filtering Cepstral Coefficients. INTERSPEECH 2020: 4971-4975
2010 – 2019
- 2019
- [j60]Shreyas Seshadri, Lauri Juvela, Okko Räsänen, Paavo Alku:
Vocal Effort Based Speaking Style Conversion Using Vocoder Features and Parallel Learning. IEEE Access 7: 17230-17246 (2019) - [j59]Emma Jokinen, Rahim Saeidi, Tomi Kinnunen, Paavo Alku:
Vocal effort compensation for MFCC feature extraction in a shouted versus normal speaker recognition task. Comput. Speech Lang. 53: 1-11 (2019) - [j58]N. P. Narendra, Manu Airaksinen, Brad H. Story, Paavo Alku:
Estimation of the glottal source from coded telephone speech using deep neural networks. Speech Commun. 106: 95-104 (2019) - [j57]Paavo Alku, Tiina Murtola, Jarmo Malinen, Juha Kuortti, Brad H. Story, Manu Airaksinen, Mika Salmi, Erkki Vilkman, Ahmed Geneid:
OPENGLOT - An open environment for the evaluation of glottal inverse filtering. Speech Commun. 107: 38-47 (2019) - [j56]Tiina Murtola, Jarmo Malinen, Ahmed Geneid, Paavo Alku:
Analysis of phonation onsets in vowel production, using information from glottal area and flow estimate. Speech Commun. 109: 55-65 (2019) - [j55]N. P. Narendra, Paavo Alku:
Dysarthric speech classification from coded telephone speech using glottal features. Speech Commun. 110: 47-55 (2019) - [j54]Bajibabu Bollepalli, Lauri Juvela, Manu Airaksinen, Cassia Valentini-Botinhao, Paavo Alku:
Normal-to-Lombard adaptation of speech synthesis using long short-term memory recurrent neural networks. Speech Commun. 110: 64-75 (2019) - [j53]Lauri Juvela, Bajibabu Bollepalli, Vassilis Tsiaras, Paavo Alku:
GlotNet - A Raw Waveform Model for the Glottal Excitation in Statistical Parametric Speech Synthesis. IEEE ACM Trans. Audio Speech Lang. Process. 27(6): 1019-1030 (2019) - [c150]Manu Airaksinen, Lauri Juvela, Paavo Alku, Okko Räsänen:
Data Augmentation Strategies for Neural Network F0 Estimation. ICASSP 2019: 6485-6489 - [c149]Shreyas Seshadri, Lauri Juvela, Junichi Yamagishi, Okko Räsänen, Paavo Alku:
Cycle-consistent Adversarial Networks for Non-parallel Vocal Effort Based Speaking Style Conversion. ICASSP 2019: 6835-6839 - [c148]Lauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi, Paavo Alku:
Waveform Generation for Text-to-speech Synthesis Using Pitch-synchronous Multi-scale Generative Adversarial Networks. ICASSP 2019: 6915-6919 - [c147]Lauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi, Paavo Alku:
GELP: GAN-Excited Linear Prediction for Speech Synthesis from Mel-Spectrogram. INTERSPEECH 2019: 694-698 - [c146]Sudarsana Reddy Kadiri, Paavo Alku:
Mel-Frequency Cepstral Coefficients of Voice Source Waveforms for Classification of Phonation Types in Speech. INTERSPEECH 2019: 2508-2512 - [c145]Bajibabu Bollepalli, Lauri Juvela, Paavo Alku:
Lombard Speech Synthesis Using Transfer Learning in a Tacotron Text-to-Speech System. INTERSPEECH 2019: 2833-2837 - [c144]Shreyas Seshadri, Lauri Juvela, Paavo Alku, Okko Räsänen:
Augmented CycleGANs for Continuous Scale Normal-to-Lombard Speaking Style Conversion. INTERSPEECH 2019: 2838-2842 - [i8]Bajibabu Bollepalli, Lauri Juvela, Paavo Alku:
Generative adversarial network-based glottal waveform model for statistical parametric speech synthesis. CoRR abs/1903.05955 (2019) - [i7]Lauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi, Paavo Alku:
GELP: GAN-Excited Linear Prediction for Speech Synthesis from Mel-spectrogram. CoRR abs/1904.03976 (2019) - [i6]Xin Wang, Junichi Yamagishi, Massimiliano Todisco, Héctor Delgado, Andreas Nautsch, Nicholas W. D. Evans, Md. Sahidullah, Ville Vestman, Tomi Kinnunen, Kong Aik Lee, Lauri Juvela, Paavo Alku, Yu-Huai Peng, Hsin-Te Hwang, Yu Tsao, Hsin-Min Wang, Sébastien Le Maguer, Markus Becker, Fergus Henderson, Rob Clark, Yu Zhang, Quan Wang, Ye Jia, Kai Onuma, Koji Mushika, Takashi Kaneda, Yuan Jiang, Li-Juan Liu, Yi-Chiao Wu, Wen-Chin Huang, Tomoki Toda, Kou Tanaka, Hirokazu Kameoka, Ingmar Steiner, Driss Matrouf, Jean-François Bonastre, Avashna Govender, Srikanth Ronanki, Jing-Xuan Zhang, Zhen-Hua Ling:
The ASVspoof 2019 database. CoRR abs/1911.01601 (2019) - [i5]Thomas Drugman, Paavo Alku, Abeer Alwan, Bayya Yegnanarayana:
Glottal Source Processing: from Analysis to Applications. CoRR abs/1912.12604 (2019) - 2018
- [j52]Tiina Murtola, Paavo Alku, Jarmo Malinen, Ahmed Geneid:
Parameterization of a computational physical model for glottal flow using inverse filtering and high-speed videoendoscopy. Speech Commun. 96: 67-80 (2018) - [j51]Ville Vestman, Dhananjaya N. Gowda, Md. Sahidullah, Paavo Alku, Tomi Kinnunen:
Speaker recognition from whispered speech: A tutorial survey and an application of time-varying linear prediction. Speech Commun. 99: 62-79 (2018) - [j50]Sofoklis Kakouros, Okko Räsänen, Paavo Alku:
Comparison of spectral tilt measures for sentence prominence in speech - Effects of dimensionality and adverse noise conditions. Speech Commun. 103: 11-26 (2018) - [j49]Parham Mokhtari, Brad H. Story, Paavo Alku, Hiroshi Ando:
Estimation of the glottal flow from speech pressure signals: Evaluation of three variants of iterative adaptive inverse filtering using computational physical modelling of voice production. Speech Commun. 104: 24-38 (2018) - [j48]Manu Airaksinen, Lauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi, Paavo Alku:
A Comparison Between STRAIGHT, Glottal, and Sinusoidal Vocoding in Statistical Parametric Speech Synthesis. IEEE ACM Trans. Audio Speech Lang. Process. 26(9): 1658-1670 (2018) - [c143]Lauri Juvela, Bajibabu Bollepalli, Xin Wang, Hirokazu Kameoka, Manu Airaksinen, Junichi Yamagishi, Paavo Alku:
Speech Waveform Synthesis from MFCC Sequences with Generative Adversarial Networks. ICASSP 2018: 5679-5683 - [c142]Manu Airaksinen, Lauri Juvela, Okko Räsänen, Paavo Alku:
Time-regularized Linear Prediction for Noise-robust Extraction of the Spectral Envelope of Speech. INTERSPEECH 2018: 701-705 - [c141]Lauri Juvela, Vassilis Tsiaras, Bajibabu Bollepalli, Manu Airaksinen, Junichi Yamagishi, Paavo Alku:
Speaker-independent Raw Waveform Model for Glottal Excitation. INTERSPEECH 2018: 2012-2016 - [c140]N. P. Narendra, Paavo Alku:
Dysarthric Speech Classification Using Glottal Features Computed from Non-words, Words and Sentences. INTERSPEECH 2018: 3403-3407 - [i4]Lauri Juvela, Bajibabu Bollepalli, Xin Wang, Hirokazu Kameoka, Manu Airaksinen, Junichi Yamagishi, Paavo Alku:
Speech waveform synthesis from MFCC sequences with generative adversarial networks. CoRR abs/1804.00920 (2018) - [i3]Lauri Juvela, Vassilis Tsiaras, Bajibabu Bollepalli, Manu Airaksinen, Junichi Yamagishi, Paavo Alku:
Speaker-independent raw waveform model for glottal excitation. CoRR abs/1804.09593 (2018) - [i2]Bajibabu Bollepalli, Lauri Juvela, Paavo Alku:
Speaking style adaptation in Text-To-Speech synthesis using Sequence-to-sequence models with attention. CoRR abs/1810.12051 (2018) - [i1]Lauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi, Paavo Alku:
Waveform generation for text-to-speech synthesis using pitch-synchronous multi-scale generative adversarial networks. CoRR abs/1810.12598 (2018) - 2017
- [j47]Dong Liu, Elina Kankare, Anne-Maria Laukkanen, Paavo Alku:
Comparison of parametrization methods of electroglottographic and inverse filtered acoustic speech pressure signals in distinguishing between phonation types. Biomed. Signal Process. Control. 36: 183-193 (2017) - [j46]Manu Airaksinen, Bajibabu Bollepalli, Jouni Pohjalainen, Paavo Alku:
Glottal Vocoding With Frequency-Warped Time-Weighted Linear Prediction. IEEE Signal Process. Lett. 24(4): 446-450 (2017) - [j45]Manu Airaksinen, Tom Bäckström, Paavo Alku:
Quadratic Programming Approach to Glottal Inverse Filtering by Joint Norm-1 and Norm-2 Optimization. IEEE ACM Trans. Audio Speech Lang. Process. 25(5): 929-939 (2017) - [j44]Paavo Alku, Rahim Saeidi:
The Linear Predictive Modeling of Speech From Higher-Lag Autocorrelation Coefficients Applied to Noise-Robust Speaker Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 25(8): 1606-1617 (2017) - [j43]Emma Jokinen, Ulpu Remes, Paavo Alku:
Intelligibility Enhancement of Telephone Speech Using Gaussian Process Regression for Normal-to-Lombard Spectral Tilt Conversion. IEEE ACM Trans. Audio Speech Lang. Process. 25(10): 1985-1996 (2017) - [c139]Ana Ramírez López, Rahim Saeidi, Lauri Juvela, Paavo Alku:
Normal-to-shouted speech spectral mapping for speaker recognition under vocal effort mismatch. ICASSP 2017: 4940-4944 - [c138]Bajibabu Bollepalli, Manu Airaksinen, Paavo Alku:
Lombard speech synthesis using long short-term memory recurrent neural networks. ICASSP 2017: 5505-5509 - [c137]Tomi Kinnunen, Lauri Juvela, Paavo Alku, Junichi Yamagishi:
Non-parallel voice conversion using i-vector PLDA: towards unifying speaker verification and transformation. ICASSP 2017: 5535-5539 - [c136]Manu Airaksinen, Bajibabu Bollepalli, Jouni Pohjalainen, Paavo Alku:
Frequency-warped time-weighted linear prediction for glottal vocoding. ICASSP 2017: 5630-5634 - [c135]Ana Ramírez López, Shreyas Seshadri, Lauri Juvela, Okko Räsänen, Paavo Alku:
Speaking Style Conversion from Normal to Lombard Speech Using a Glottal Vocoder and Bayesian GMMs. INTERSPEECH 2017: 1363-1367 - [c134]Lauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi, Paavo Alku:
Reducing Mismatch in Training of DNN-Based Glottal Excitation Models in a Statistical Parametric Text-to-Speech System. INTERSPEECH 2017: 1368-1372 - [c133]Ville Vestman, Dhananjaya N. Gowda, Md. Sahidullah, Paavo Alku, Tomi Kinnunen:
Time-Varying Autoregressions for Speaker Verification in Reverberant Conditions. INTERSPEECH 2017: 1512-1516 - [c132]Sofoklis Kakouros, Okko Räsänen, Paavo Alku:
Evaluation of Spectral Tilt Measures for Sentence Prominence Under Different Noise Conditions. INTERSPEECH 2017: 3211-3215 - [c131]Bajibabu Bollepalli, Lauri Juvela, Paavo Alku:
Generative Adversarial Network-Based Glottal Waveform Model for Statistical Parametric Speech Synthesis. INTERSPEECH 2017: 3394-3398 - [c130]N. P. Narendra, Manu Airaksinen, Paavo Alku:
Glottal Source Estimation from Coded Telephone Speech Using a Deep Neural Network. INTERSPEECH 2017: 3931-3935 - [c129]Manu Airaksinen, Paavo Alku:
Effects of Training Data Variety in Generating Glottal Pulses from Acoustic Features with DNNs. INTERSPEECH 2017: 3946-3950 - 2016
- [j42]Ulpu Remes, Ana Ramírez López, Lauri Juvela, Kalle J. Palomäki, Guy J. Brown, Paavo Alku, Mikko Kurimo:
Comparing human and automatic speech recognition in a perceptual restoration experiment. Comput. Speech Lang. 35: 14-31 (2016) - [j41]Maria Hakonen, Patrick J. C. May, Jussi Alho, Paavo Alku, Emma Jokinen, Iiro P. Jääskeläinen, Hannu Tiitinen:
Previous exposure to intact speech increases intelligibility of its digitally degraded counterpart as a function of stimulus complexity. NeuroImage 125: 131-143 (2016) - [j40]Tuomo Raitio, Lauri Juvela, Antti Suni, Martti Vainio, Paavo Alku:
Phase perception of the glottal excitation and its relevance in statistical parametric speech synthesis. Speech Commun. 81: 104-119 (2016) - [j39]Emma Jokinen, Hannu Pulakka, Paavo Alku:
Phase modification for increasing the intelligibility of telephone speech in near-end noise conditions - evaluation of two methods. Speech Commun. 83: 64-80 (2016) - [j38]Rahim Saeidi, Paavo Alku, Tom Bäckström:
Feature Extraction Using Power-Law Adjusted Linear Prediction With Application to Speaker Recognition Under Severe Vocal Effort Mismatch. IEEE ACM Trans. Audio Speech Lang. Process. 24(1): 42-53 (2016) - [c128]Dhananjaya N. Gowda, Manu Airaksinen, Paavo Alku:
Quasi closed phase analysis of speech signals using time varying weighted linear prediction for accurate formant tracking. ICASSP 2016: 4980-4984 - [c127]Lauri Juvela, Bajibabu Bollepalli, Manu Airaksinen, Paavo Alku:
High-pitched excitation generation for glottal vocoding in statistical parametric speech synthesis using a deep neural network. ICASSP 2016: 5120-5124 - [c126]