Keisuke Kinoshita
Keisuke Kinoshita
Distinguished Research Scientist at NTT
Verified email at ieee.org
Title
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Year
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
3762013
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
3222010
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
2942016
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
2842012
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
2372009
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
2152015
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
1482008
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
1162014
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
1082018
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
1002013
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
982011
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
942006
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), 1-12, 2015
922015
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
882017
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
802006
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
642002
Neural Network-Based Spectrum Estimation for Online WPE Dereverberation.
K Kinoshita, M Delcroix, H Kwon, T Mori, T Nakatani
Interspeech, 384-388, 2017
622017
Implementation and effects of single channel dereverberation based on the harmonic structure of speech
T Nakatani, M Miyoshi, K Kinoshita
Proc. IWAENC2003, 2003
622003
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
572008
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
562019
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