| The REVERB challenge: A common evaluation framework for dereverberation and recognition of reverberant speech K Kinoshita, M Delcroix, T Yoshioka, T Nakatani, E Habets, ... 2013 IEEE Workshop on Applications of Signal Processing to Audio and …, 2013 | 359 | 2013 |
| Speech dereverberation based on variance-normalized delayed linear prediction T Nakatani, T Yoshioka, K Kinoshita, M Miyoshi, BH Juang IEEE Transactions on Audio, Speech, and Language Processing 18 (7), 1717-1731, 2010 | 289 | 2010 |
| Making machines understand us in reverberant rooms: Robustness against reverberation for automatic speech recognition T Yoshioka, A Sehr, M Delcroix, K Kinoshita, R Maas, T Nakatani, ... IEEE Signal Processing Magazine 29 (6), 114-126, 2012 | 274 | 2012 |
| A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research K Kinoshita, M Delcroix, S Gannot, EAP Habets, R Haeb-Umbach, ... EURASIP Journal on Advances in Signal Processing 2016 (1), 1-19, 2016 | 251 | 2016 |
| The NTT CHiME-3 system: Advances in speech enhancement and recognition for mobile multi-microphone devices T Yoshioka, N Ito, M Delcroix, A Ogawa, K Kinoshita, M Fujimoto, C Yu, ... 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015 | 209 | 2015 |
| Generalization of multi-channel linear prediction methods for blind MIMO impulse response shortening T Yoshioka, T Nakatani IEEE Transactions on Audio, Speech, and Language Processing 20 (10), 2707-2720, 2012 | 182 | 2012 |
| Robust MVDR beamforming using time-frequency masks for online/offline ASR in noise T Higuchi, N Ito, T Yoshioka, T Nakatani 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 160 | 2016 |
| Blind separation and dereverberation of speech mixtures by joint optimization T Yoshioka, T Nakatani, M Miyoshi, HG Okuno IEEE Transactions on Audio, Speech, and Language Processing 19 (1), 69-84, 2010 | 155 | 2010 |
| Blind speech dereverberation with multi-channel linear prediction based on short time Fourier transform representation T Nakatani, T Yoshioka, K Kinoshita, M Miyoshi, BH Juang 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 142 | 2008 |
| Linear prediction-based dereverberation with advanced speech enhancement and recognition technologies for the REVERB challenge M Delcroix, T Yoshioka, A Ogawa, Y Kubo, M Fujimoto, N Ito, K Kinoshita, ... Reverb workshop, 2014 | 108 | 2014 |
| Robust speech dereverberation based on non-negativity and sparse nature of speech spectrograms H Kameoka, T Nakatani, T Yoshioka 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 98 | 2009 |
| Dual-path rnn: efficient long sequence modeling for time-domain single-channel speech separation Y Luo, Z Chen, T Yoshioka ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 97 | 2020 |
| Low-latency real-time meeting recognition and understanding using distant microphones and omni-directional camera T Hori, S Araki, T Yoshioka, M Fujimoto, S Watanabe, T Oba, A Ogawa, ... IEEE transactions on audio, speech, and language processing 20 (2), 499-513, 2011 | 96 | 2011 |
| Integrated speech enhancement method using noise suppression and dereverberation T Yoshioka, T Nakatani, M Miyoshi IEEE Transactions on Audio, Speech, and Language Processing 17 (2), 231-246, 2009 | 86 | 2009 |
| Automatic Chord Transcription with Concurrent Recognition of Chord Symbols and Boundaries. T Yoshioka, T Kitahara, K Komatani, T Ogata, HG Okuno ISMIR, 100-105, 2004 | 77 | 2004 |
| Multi-microphone neural speech separation for far-field multi-talker speech recognition T Yoshioka, H Erdogan, Z Chen, F Alleva 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 65 | 2018 |
| Online MVDR beamformer based on complex Gaussian mixture model with spatial prior for noise robust ASR T Higuchi, N Ito, S Araki, T Yoshioka, M Delcroix, T Nakatani IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (4), 780-793, 2017 | 63 | 2017 |
| Environmentally robust ASR front-end for deep neural network acoustic models T Yoshioka, MJF Gales Computer Speech & Language 31 (1), 65-86, 2015 | 61 | 2015 |
| Multi-channel overlapped speech recognition with location guided speech extraction network Z Chen, X Xiao, T Yoshioka, H Erdogan, J Li, Y Gong 2018 IEEE Spoken Language Technology Workshop (SLT), 558-565, 2018 | 55 | 2018 |
| Speech dereverberation based on maximum-likelihood estimation with time-varying Gaussian source model T Nakatani, BH Juang, T Yoshioka, K Kinoshita, M Delcroix, M Miyoshi IEEE transactions on audio, speech, and language processing 16 (8), 1512-1527, 2008 | 55 | 2008 |
Tomohiro NakataniNTT Communication Science LaboratoriesVerified email at ieee.org
