| Deep clustering: Discriminative embeddings for segmentation and separation JR Hershey, Z Chen, J Le Roux, S Watanabe 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 1032 | 2016 |
| Espnet: End-to-end speech processing toolkit S Watanabe, T Hori, S Karita, T Hayashi, J Nishitoba, Y Unno, NEY Soplin, ... arXiv preprint arXiv:1804.00015, 2018 | 761 | 2018 |
| Joint CTC-attention based end-to-end speech recognition using multi-task learning S Kim, T Hori, S Watanabe 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 654 | 2017 |
| The third ‘CHiME’speech separation and recognition challenge: Dataset, task and baselines J Barker, R Marxer, E Vincent, S Watanabe 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015 | 581 | 2015 |
| Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks H Erdogan, JR Hershey, S Watanabe, J Le Roux 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 573 | 2015 |
| Speech enhancement with LSTM recurrent neural networks and its application to noise-robust ASR F Weninger, H Erdogan, S Watanabe, E Vincent, JL Roux, JR Hershey, ... International conference on latent variable analysis and signal separation …, 2015 | 508 | 2015 |
| Hybrid CTC/attention architecture for end-to-end speech recognition S Watanabe, T Hori, S Kim, JR Hershey, T Hayashi IEEE Journal of Selected Topics in Signal Processing 11 (8), 1240-1253, 2017 | 444 | 2017 |
| A comparative study on transformer vs rnn in speech applications S Karita, N Chen, T Hayashi, T Hori, H Inaguma, Z Jiang, M Someki, ... 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 400 | 2019 |
| Single-channel multi-speaker separation using deep clustering Y Isik, JL Roux, Z Chen, S Watanabe, JR Hershey arXiv preprint arXiv:1607.02173, 2016 | 368 | 2016 |
| An analysis of environment, microphone and data simulation mismatches in robust speech recognition E Vincent, S Watanabe, AA Nugraha, J Barker, R Marxer Computer Speech & Language 46, 535-557, 2017 | 316 | 2017 |
| Advances in joint CTC-attention based end-to-end speech recognition with a deep CNN encoder and RNN-LM T Hori, S Watanabe, Y Zhang, W Chan arXiv preprint arXiv:1706.02737, 2017 | 277 | 2017 |
| The fifth'CHiME'speech separation and recognition challenge: dataset, task and baselines J Barker, S Watanabe, E Vincent, J Trmal arXiv preprint arXiv:1803.10609, 2018 | 275 | 2018 |
| Improved mvdr beamforming using single-channel mask prediction networks. H Erdogan, JR Hershey, S Watanabe, MI Mandel, J Le Roux Interspeech, 1981-1985, 2016 | 259 | 2016 |
| The second ‘CHiME’speech separation and recognition challenge: Datasets, tasks and baselines E Vincent, J Barker, S Watanabe, J Le Roux, F Nesta, M Matassoni 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 241 | 2013 |
| Topic tracking model for analyzing consumer purchase behavior T Iwata, S Watanabe, T Yamada, N Ueda Twenty-First international joint conference on artificial intelligence, 2009 | 189 | 2009 |
| Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge. G Sell, D Snyder, A McCree, D Garcia-Romero, J Villalba, M Maciejewski, ... Interspeech, 2808-2812, 2018 | 183 | 2018 |
| Deep beamforming networks for multi-channel speech recognition X Xiao, S Watanabe, H Erdogan, L Lu, J Hershey, ML Seltzer, G Chen, ... 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 167 | 2016 |
| Recurrent deep neural networks for robust speech recognition C Weng, D Yu, S Watanabe, BHF Juang 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 147 | 2014 |
| Speech enhancement and recognition using multi-task learning of long short-term memory recurrent neural networks Z Chen, S Watanabe, H Erdogan, JR Hershey Sixteenth Annual Conference of the International Speech Communication …, 2015 | 146 | 2015 |
| CHiME-6 challenge: Tackling multispeaker speech recognition for unsegmented recordings S Watanabe, M Mandel, J Barker, E Vincent, A Arora, X Chang, ... arXiv preprint arXiv:2004.09249, 2020 | 144 | 2020 |
John HersheyGoogle (formerly MERL, IBM, MSR, UCSD)Bestätigte E-Mail-Adresse bei google.com
