| Wavlm: Large-scale self-supervised pre-training for full stack speech processing S Chen, C Wang, Z Chen, Y Wu, S Liu, Z Chen, J Li, N Kanda, T Yoshioka, ... IEEE Journal of Selected Topics in Signal Processing 16 (6), 1505-1518, 2022 | 1496 | 2022 |
| 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 | 794 | 2020 |
| 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 | 495 | 2010 |
| 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 | 468 | 2013 |
| A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research K Kinoshita, M Delcroix, S Gannot, EA P. Habets, R Haeb-Umbach, ... EURASIP Journal on Advances in Signal Processing 2016, 1-19, 2016 | 413 | 2016 |
| 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 | 334 | 2012 |
| 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 | 328 | 2020 |
| 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 | 313 | 2012 |
| 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 | 267 | 2015 |
| 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 | 261 | 2016 |
| Continuous speech separation: Dataset and analysis Z Chen, T Yoshioka, L Lu, T Zhou, Z Meng, Y Luo, J Wu, X Xiao, J Li ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 216 | 2020 |
| Icassp 2023 deep noise suppression challenge H Dubey, A Aazami, V Gopal, B Naderi, S Braun, R Cutler, A Ju, ... IEEE Open Journal of Signal Processing, 2024 | 206 | 2024 |
| 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 | 196 | 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 | 193 | 2008 |
| End-to-end microphone permutation and number invariant multi-channel speech separation Y Luo, Z Chen, N Mesgarani, T Yoshioka ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 182 | 2020 |
| 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 | 145 | 2018 |
| Continuous speech separation with conformer S Chen, Y Wu, Z Chen, J Wu, J Li, T Yoshioka, C Wang, S Liu, M Zhou ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 136 | 2021 |
| 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 | 134 | 2018 |
| 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 | 127 | 2014 |
| 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 | 126 | 2017 |
Tomohiro NakataniNTT Communication Science LaboratoriesE-mail megerősítve itt: ieee.org
