An Investigation of a Knowledge Distillation Method for CTC Acoustic Models R Takashima, S Li, H Kawai IEEE-ICASSP, 2018 | 64 | 2018 |
Improving Transformer-based Speech Recognition Systems with Compressed Structure and Speech Attributes Augmentation. S Li, R Dabre, X Lu, P Shen, T Kawahara, H Kawai. INTERSPEECH, 2019 | 57 | 2019 |
Phoneme-level articulatory animation in pronunciation training L Wang, H Chen, S Li, HM Meng Speech Communication 54 (7), 845-856, 2012 | 55 | 2012 |
Voice-Indistinguishability: Protecting Voiceprint in Privacy Preserving Speech Data Release Y Han, S Li, Y Cao, Q Ma, M Yoshikawa IEEE-ICME, 2020 | 49 | 2020 |
Conditional Generative Adversarial Nets Classifier for Spoken Language Identification. P Shen, X Lu, S Li, H Kawai INTERSPEECH, 2017 | 41 | 2017 |
Investigation of Sequence-level Knowledge Distillation Methods for CTC Acoustic Models R Takashima, L Sheng, H Kawai ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 36 | 2019 |
Automatic speech recognition X Lu, S Li, M Fujimoto Speech-to-speech translation, 21-38, 2020 | 32 | 2020 |
Feature Representation of Short Utterances based on Knowledge Distillation for Spoken Language Identification P Shen, X Lu, S Li, H Kawai INTERSPEECH, 2018 | 31 | 2018 |
An End-to-End Dialect Identification System with Transfer Learning from a Multilingual Automatic Speech Recognition Model D Wang, S Ye, X Hu, S Li, X Xu Proc. Interspeech 2021, 3266--3270, 2021 | 22 | 2021 |
Knowledge Distillation-based Representation Learning for Short-Utterance Spoken Language Identification. P Shen, X Lu, S Li, H Kawai. IEEE/ACM Trans. Audio, Speech \& Language Process., 2020 | 21 | 2020 |
Interactive Learning of Teacher-student Model for Short Utterance Spoken Language Identification P Shen, X lu, S Li, H Kawai ICASSP, 2019 | 20 | 2019 |
SEMI-SUPERVISED ENSEMBLE DNN ACOUSTIC MODEL TRAINING S Li, X Lu, S Sakai, M Mimura, T Kawahara IEEE-ICASSP, 2017 | 17 | 2017 |
Fusion of Self-supervised Learned Models for MOS Prediction Z Yang, W Zhou, C Chu, S Li, R Dabre, R Rubino, Y Zhao in Proc. INTERSPEECH, 2022 | 16 | 2022 |
Cross linguistic comparison of Mandarin and English EMA articulatory data S Li, L Wang Thirteenth Annual Conference of the International Speech Communication …, 2012 | 16 | 2012 |
Spectrograms Fusion with Minimum Difference Masks Estimation for Monaural Speech Dereverberation H Shi, L Wang, M Ge, S Li, J Dang IEEE-ICASSP, 2020 | 15 | 2020 |
Staged Knowledge Distillation for End-to-End Dysarthric Speech Recognition and Speech Attribute Transcription. Y Lin, L Wang, S Li, J Dang, C Ding. Interspeech, 2020 | 14 | 2020 |
End-To-End Articulatory Modeling for Dysarthria Articulatory Attribute Detection Y Lin, L Wang, J Dang, S Li, C Ding IEEE-ICASSP, 2020 | 14 | 2020 |
End-to-End Articulatory Attribute Modeling for Low-resource Multilingual Speech Recognition. S Li, C Ding, X Lu, P Shen, T Kawahara, H Kawai. INTERSPEECH, 2019 | 14 | 2019 |
Temporal Attentive Pooling for Acoustic Event Detection X Lu, P Shen, S Li, Y Tsao, H Kawai INTERSPEECH, 2018 | 14 | 2018 |
Semi-Supervised Acoustic Model Training by Discriminative Data Selection from Multiple ASR Systems' Hypotheses S Li, Y Akita, T Kawahara IEEE/ACM Trans. Audio, Speech and Language Processing 24 (9), 1520--1530, 2016 | 14 | 2016 |