Atsunori Ogawa
Atsunori Ogawa
NTT Communication Science Laboratories
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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
2002015
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
1052014
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
932011
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
702018
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
692017
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), 60, 2015
512015
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
452017
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
372016
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
372011
Balancing acoustic and linguistic probabilities
A Ogawa, K Takeda, F Itakura
Proceedings of the 1998 IEEE International Conference on Acoustics, Speech …, 1998
371998
Semi-Supervised End-to-End Speech Recognition.
S Karita, S Watanabe, T Iwata, A Ogawa, M Delcroix
Interspeech, 2-6, 2018
362018
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
352016
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
272015
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
272013
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
252017
Non-native English speech recognition using bilingual English lexicon and acoustic models
S Matsunaga, A Ogawa, Y Yamaguchi, A Imamura
2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003
232003
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
222015
Auxiliary Feature Based Adaptation of End-to-end ASR Systems.
M Delcroix, S Watanabe, A Ogawa, S Karita, T Nakatani
Interspeech, 2444-2448, 2018
202018
Weighted distance measures for efficient reduction of Gaussian mixture components in HMM-based acoustic model
A Ogawa, S Takahashi
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
192008
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
172015
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Artikelen 1–20