| 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 | 416 | 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 | 412 | 2010 |
| A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research K Kinoshita, M Delcroix, S Gannot, E Habets, R Haeb-Umbach, ... EURASIP Journal on Advances in Signal Processing, 2016 | 364 | 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 | 317 | 2012 |
| Suppression of late reverberation effect on speech signal using long-term multiple-step linear prediction K Kinoshita, M Delcroix, T Nakatani, M Miyoshi IEEE transactions on audio, speech, and language processing 17 (4), 534-545, 2009 | 247 | 2009 |
| 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 | 241 | 2015 |
| 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 | 171 | 2008 |
| Single channel target speaker extraction and recognition with speaker beam M Delcroix, K Zmolikova, K Kinoshita, A Ogawa, T Nakatani 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 151 | 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 | 126 | 2014 |
| A multichannel MMSE-based framework for speech source separation and noise reduction M Souden, S Araki, K Kinoshita, T Nakatani, H Sawada IEEE Transactions on Audio, Speech, and Language Processing 21 (9), 1913-1928, 2013 | 115 | 2013 |
| Exploiting spectro-temporal locality in deep learning based acoustic event detection M Espi, M Fujimoto, K Kinoshita, T Nakatani EURASIP Journal on Audio, Speech, and Music Processing 2015, 1-12, 2015 | 108 | 2015 |
| Speakerbeam: Speaker aware neural network for target speaker extraction in speech mixtures K Žmolíková, M Delcroix, K Kinoshita, T Ochiai, T Nakatani, L Burget, ... IEEE Journal of Selected Topics in Signal Processing 13 (4), 800-814, 2019 | 105 | 2019 |
| 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 | 103 | 2011 |
| Harmonicity-based blind dereverberation for single-channel speech signals T Nakatani, K Kinoshita, M Miyoshi IEEE Transactions on Audio, Speech, and Language Processing 15 (1), 80-95, 2006 | 98 | 2006 |
| Speaker-aware neural network based beamformer for speaker extraction in speech mixtures. K Zmolikova, M Delcroix, K Kinoshita, T Higuchi, A Ogawa, T Nakatani Interspeech, 2655-2659, 2017 | 97 | 2017 |
| Neural Network-Based Spectrum Estimation for Online WPE Dereverberation. K Kinoshita, M Delcroix, H Kwon, T Mori, T Nakatani Interspeech, 384-388, 2017 | 88 | 2017 |
| Spectral subtraction steered by multi-step forward linear prediction for single channel speech dereverberation K Kinoshita, T Nakatani, M Miyoshi 2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006 | 80 | 2006 |
| All-neural online source separation, counting, and diarization for meeting analysis T Von Neumann, K Kinoshita, M Delcroix, S Araki, T Nakatani, ... ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 77 | 2019 |
| Strategies for distant speech recognitionin reverberant environments M Delcroix, T Yoshioka, A Ogawa, Y Kubo, M Fujimoto, N Ito, K Kinoshita, ... EURASIP Journal on Advances in Signal Processing 2015, 1-15, 2015 | 68 | 2015 |
| Effects of suppressing steady-state portions of speech on intelligibility in reverberant environments T Arai, K Kinoshita, N Hodoshima, A Kusumoto, T Kitamura Acoustical science and technology 23 (4), 229-232, 2002 | 65 | 2002 |
Tomohiro NakataniNTT Communication Science LaboratoriesGeverifieerd e-mailadres voor ieee.org
