Deep clustering: Discriminative embeddings for segmentation and separation JR Hershey, Z Chen, J Le Roux, S Watanabe 2016 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2016 | 1503 | 2016 |
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 | 1119 | 2019 |
Phase-sensitive and Recognition-boosted Speech Separation Using Deep Recurrent Neural Networks H Erdogan, JR Hershey, S Watanabe, J Le Roux International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015 | 743 | 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 | 676 | 2015 |
Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures JR Hershey, J Le Roux, F Weninger arXiv preprint arXiv:1409.2574, 2014 | 494 | 2014 |
Single-channel multi-speaker separation using deep clustering Y Isik, J Le Roux, Z Chen, S Watanabe, JR Hershey arXiv preprint arXiv:1607.02173, 2016 | 478 | 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 | 356 | 2014 |
Improved MVDR beamforming using single-channel mask prediction networks. H Erdogan, JR Hershey, S Watanabe, MI Mandel, J Le Roux Interspeech, 1981-1985, 2016 | 354 | 2016 |
Full-capacity unitary recurrent neural networks S Wisdom, T Powers, J Hershey, J Le Roux, L Atlas Advances in Neural Information Processing Systems, 2016 | 347 | 2016 |
WHAM!: Extending speech separation to noisy environments G Wichern, J Antognini, M Flynn, LR Zhu, E McQuinn, D Crow, E Manilow, ... arXiv preprint arXiv:1907.01160, 2019 | 312 | 2019 |
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 Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2013 | 266 | 2013 |
Phase processing for single-channel speech enhancement: History and recent advances T Gerkmann, M Krawczyk-Becker, J Le Roux IEEE signal processing Magazine 32 (2), 55-66, 2015 | 263 | 2015 |
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 | 258 | 2018 |
Discriminative training for large-vocabulary speech recognition using minimum classification error E McDermott, TJ Hazen, J Le Roux, A Nakamura, S Katagiri IEEE Transactions on Audio, Speech, and Language Processing 15 (1), 203-223, 2006 | 216 | 2006 |
Alternative objective functions for deep clustering ZQ Wang, J Le Roux, JR Hershey 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 213 | 2018 |
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 | 208 | 2019 |
Deep clustering and conventional networks for music separation: Stronger together Y Luo, Z Chen, JR Hershey, J Le Roux, N Mesgarani 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 205 | 2017 |
Streaming automatic speech recognition with the transformer model N Moritz, T Hori, J Le Roux ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 204 | 2020 |
Separation of a monaural audio signal into harmonic/percussive components by complementary diffusion on spectrogram N Ono, K Miyamoto, J Le Roux, H Kameoka, S Sagayama 2008 16th European Signal Processing Conference, 1-4, 2008 | 202 | 2008 |
Deep NMF for Speech Separation J Le Roux, JR Hershey, F Weninger International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015 | 173 | 2015 |