| 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 | 232 | 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 | 130 | 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 | 121 | 2014 |
| 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 | 100 | 2011 |
| 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 | 93 | 2017 |
| Error detection and accuracy estimation in automatic speech recognition using deep bidirectional recurrent neural networks A Ogawa, T Hori Speech Communication 89, 70-83, 2017 | 68 | 2017 |
| 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 | 64 | 2015 |
| Semi-Supervised End-to-End Speech Recognition. S Karita, S Watanabe, T Iwata, A Ogawa, M Delcroix Interspeech, 2-6, 2018 | 52 | 2018 |
| Context adaptive deep neural networks for fast acoustic model adaptation in noisy conditions M Delcroix, K Kinoshita, C Yu, A Ogawa, T Yoshioka, T Nakatani 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 46 | 2016 |
| Spatial correlation model based observation vector clustering and MVDR beamforming for meeting recognition S Araki, M Okada, T Higuchi, A Ogawa, T Nakatani 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 41 | 2016 |
| Balancing acoustic and linguistic probabilities A Ogawa, K Takeda, F Itakura Proceedings of the 1998 IEEE International Conference on Acoustics, Speech …, 1998 | 39 | 1998 |
| Speech recognition in the presence of highly non-stationary noise based on spatial, spectral and temporal speech/noise modeling combined with dynamic variance adaptation M Delcroix, K Kinoshita, T Nakatani, S Araki, A Ogawa, T Hori, ... Machine Listening in Multisource Environments, 2011 | 37 | 2011 |
| Learning speaker representation for neural network based multichannel speaker extraction K Žmolíková, M Delcroix, K Kinoshita, T Higuchi, A Ogawa, T Nakatani 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 8-15, 2017 | 36 | 2017 |
| Auxiliary Feature Based Adaptation of End-to-end ASR Systems. M Delcroix, S Watanabe, A Ogawa, S Karita, T Nakatani Interspeech 2018, 2444-2448, 2018 | 32 | 2018 |
| Text-informed speech enhancement with deep neural networks K Kinoshita, M Delcroix, A Ogawa, T Nakatani Sixteenth Annual Conference of the International Speech Communication …, 2015 | 32 | 2015 |
| Robust i-vector extraction for neural network adaptation in noisy environment C Yu, A Ogawa, M Delcroix, T Yoshioka, T Nakatani, JHL Hansen International Speech and Communication Association, 2015 | 30 | 2015 |
| ASR error detection and recognition rate estimation using deep bidirectional recurrent neural networks A Ogawa, T Hori 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 30 | 2015 |
| Semi-supervised end-to-end speech recognition using text-to-speech and autoencoders S Karita, S Watanabe, T Iwata, M Delcroix, A Ogawa, T Nakatani ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 28 | 2019 |
| Speech recognition in living rooms: Integrated speech enhancement and recognition system based on spatial, spectral and temporal modeling of sounds M Delcroix, K Kinoshita, T Nakatani, S Araki, A Ogawa, T Hori, ... Computer Speech & Language 27 (3), 851-873, 2013 | 27 | 2013 |
| Multimodal SpeakerBeam: Single Channel Target Speech Extraction with Audio-Visual Speaker Clues. T Ochiai, M Delcroix, K Kinoshita, A Ogawa, T Nakatani INTERSPEECH, 2718-2722, 2019 | 26 | 2019 |
