| 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 | 1627 | 2016 |
| Approximating the Kullback Leibler divergence between Gaussian mixture models JR Hershey, PA Olsen 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 1524 | 2007 |
| SDR–half-baked or well done? J Le Roux, S Wisdom, H Erdogan, JR Hershey ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 1378 | 2019 |
| 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 | 975 | 2017 |
| 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 | 773 | 2015 |
| Speech enhancement with LSTM recurrent neural networks and its application to noise-robust ASR F Weninger, H Erdogan, S Watanabe, E Vincent, J Le Roux, JR Hershey, ... Latent Variable Analysis and Signal Separation: 12th International …, 2015 | 719 | 2015 |
| Deep unfolding: Model-based inspiration of novel deep architectures JR Hershey, JL Roux, F Weninger arXiv preprint arXiv:1409.2574, 2014 | 545 | 2014 |
| Single-channel multi-speaker separation using deep clustering Y Isik, JL Roux, Z Chen, S Watanabe, JR Hershey arXiv preprint arXiv:1607.02173, 2016 | 510 | 2016 |
| Voicefilter: Targeted voice separation by speaker-conditioned spectrogram masking Q Wang, H Muckenhirn, K Wilson, P Sridhar, Z Wu, J Hershey, ... arXiv preprint arXiv:1810.04826, 2018 | 452 | 2018 |
| Attention-based multimodal fusion for video description C Hori, T Hori, TY Lee, Z Zhang, B Harsham, JR Hershey, TK Marks, ... Proceedings of the IEEE international conference on computer vision, 4193-4202, 2017 | 450 | 2017 |
| Audio vision: Using audio-visual synchrony to locate sounds J Hershey, J Movellan Advances in neural information processing systems 12, 1999 | 388 | 1999 |
| Improved MVDR beamforming using single-channel mask prediction networks. H Erdogan, JR Hershey, S Watanabe, MI Mandel, J Le Roux Interspeech, 1981-1985, 2016 | 384 | 2016 |
| Full-capacity unitary recurrent neural networks S Wisdom, T Powers, J Hershey, J Le Roux, L Atlas Advances in Neural Information Processing Systems, 4880-4888, 2016 | 371 | 2016 |
| Discriminatively trained recurrent neural networks for single-channel speech separation F Weninger, JR Hershey, J Le Roux, B Schuller 2014 IEEE global conference on signal and information processing (GlobalSIP …, 2014 | 366 | 2014 |
| Multi-channel deep clustering: Discriminative spectral and spatial embeddings for speaker-independent speech separation ZQ Wang, J Le Roux, JR Hershey 2018 IEEE International conference on acoustics, speech and signal …, 2018 | 282 | 2018 |
| Monaural speech separation and recognition challenge M Cooke, JR Hershey, SJ Rennie Computer Speech & Language 24 (1), 1-15, 2010 | 253 | 2010 |
| Universal sound separation I Kavalerov, S Wisdom, H Erdogan, B Patton, K Wilson, J Le Roux, ... 2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019 | 234 | 2019 |
| 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 | 229 | 2016 |
| Alternative objective functions for deep clustering ZQ Wang, J Le Roux, JR Hershey 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 228 | 2018 |
| Unsupervised Sound Separation Using Mixture Invariant Training S Wisdom, E Tzinis, H Erdogan, RJ Weiss, K Wilson, JR Hershey | 215 | 2020 |
Jonathan Le RouxMERLVerified email at merl.com
