| 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 | 363 | 2013 |
| 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 | 275 | 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 | 254 | 2016 |
| 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 | 232 | 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 | 209 | 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 | 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, ... Proceedings of REVERB Workshop 2014, 2014 | 109 | 2014 |
| Precise dereverberation using multichannel linear prediction M Delcroix, T Hikichi, M Miyoshi IEEE Transactions on Audio, Speech, and Language Processing 15 (2), 430-440, 2007 | 109 | 2007 |
| Inverse filtering for speech dereverberation less sensitive to noise and room transfer function fluctuations T Hikichi, M Delcroix, M Miyoshi EURASIP Journal on Advances in Signal Processing 2007, 1-12, 2007 | 102 | 2007 |
| Exploring multi-channel features for denoising-autoencoder-based speech enhancement S Araki, T Hayashi, M Delcroix, M Fujimoto, K Takeda, T Nakatani 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 87 | 2015 |
| 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 | 86 | 2018 |
| 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 | 77 | 2017 |
| Static and dynamic variance compensation for recognition of reverberant speech with dereverberation preprocessing M Delcroix, T Nakatani, S Watanabe IEEE Transactions on Audio, Speech, and Language Processing 17 (2), 324-334, 2009 | 72 | 2009 |
| 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 | 66 | 2017 |
| 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 |
| 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), 1-15, 2015 | 53 | 2015 |
| Neural Network-Based Spectrum Estimation for Online WPE Dereverberation. K Kinoshita, M Delcroix, H Kwon, T Mori, T Nakatani Interspeech, 384-388, 2017 | 52 | 2017 |
| Context adaptive deep neural networks for fast acoustic model adaptation M Delcroix, K Kinoshita, T Hori, T Nakatani 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 51 | 2015 |
| Is speech enhancement pre-processing still relevant when using deep neural networks for acoustic modeling? M Delcroix, Y Kubo, T Nakatani, A Nakamura Interspeech, 2992-2996, 2013 | 51 | 2013 |
| Dereverberation and denoising using multichannel linear prediction M Delcroix, T Hikichi, M Miyoshi IEEE Transactions on Audio, Speech, and Language Processing 15 (6), 1791-1801, 2007 | 48 | 2007 |
Tomohiro NakataniNTT Communication Science Laboratories確認したメール アドレス: ieee.org
