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Masayuki Suzuki
Masayuki Suzuki
IBM Research
Verified email at jp.ibm.com - Homepage
Title
Cited by
Cited by
Year
Efficient Knowledge Distillation from an Ensemble of Teachers.
T Fukuda, M Suzuki, G Kurata, S Thomas, J Cui, B Ramabhadran
Interspeech, 3697-3701, 2017
1562017
Major depressive disorder discrimination using vocal acoustic features
T Taguchi, H Tachikawa, K Nemoto, M Suzuki, T Nagano, R Tachibana, ...
Journal of affective disorders 225, 214-220, 2018
742018
Speech recognition model construction method, speech recognition method, computer system, speech recognition apparatus, program, and recording medium
G Kurata, T Nagano, M Suzuki, R Tachibana
US Patent 9,812,122, 2017
512017
Speech structure and its application to robust speech processing
N Minematsu, S Asakawa, M Suzuki, Y Qiao
New Generation Computing 28, 299-319, 2010
412010
Automatic Chinese pronunciation error detection using SVM trained with structural features
T Zhao, A Hoshino, M Suzuki, N Minematsu, K Hirose
2012 IEEE Spoken Language Technology Workshop (SLT), 473-478, 2012
292012
Low temperature specific heat, magnetic susceptibility and electrical resistivity measurements in Ni-Ti metallic glasses
S Kanemaki, M Suzuki, Y Yamada, U Mizutani
Journal of Physics F: Metal Physics 18 (1), 105, 1988
251988
Accent sandhi estimation of Tokyo dialect of Japanese using conditional random fields
M Suzuki, R Kuroiwa, K Innami, S Kobayashi, S Shimizu, N Minematsu, ...
IEICE TRANSACTIONS on Information and Systems 100 (4), 655-661, 2017
202017
Improvements to n-gram language model using text generated from neural language model
M Suzuki, N Itoh, T Nagano, G Kurata, S Thomas
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
192019
English broadcast news speech recognition by humans and machines
S Thomas, M Suzuki, Y Huang, G Kurata, Z Tuske, G Saon, B Kingsbury, ...
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
162019
Integration of multilayer regression analysis with structure-based pronunciation assessment
M Suzuki, Y Qiao, N Minematsu, K Hirose
Eleventh Annual Conference of the International Speech Communication Association, 2010
162010
Sub-structure-based estimation of pronunciation proficiency and classification of learners
M Suzuki, N Minematsu, D Luo, K Hirose
2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 574-579, 2009
162009
Magnetoresistance in crystalline and amorphous Fe-Co-Ni based alloys
M Inagaki, M Suzuki, Y Iwama, U Mizutani
Japanese journal of applied physics 25 (10R), 1514, 1986
161986
Affine invariant features and their application to speech recognition
Y Qiao, M Suzuki, N Minematsu
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
152009
New Advances in Speaker Diarization.
H Aronowitz, W Zhu, M Suzuki, G Kurata, R Hoory
Interspeech, 279-283, 2020
142020
Domain Adaptation of CNN Based Acoustic Models Under Limited Resource Settings
M Suzuki, R Tachibana, S Thomas, B Ramabhadran, G Saon
Interspeech 2016, 1588-1592, 2016
132016
Development of a web framework for teaching and learning Japanese prosody: OJAD (online Japanese accent dictionary).
I Nakamura, N Minematsu, M Suzuki, H Hirano, C Nakagawa, ...
INTERSPEECH, 2554-2558, 2013
132013
条件付き確率場を用いた日本語東京方言のアクセント結合自動推定
鈴木雅之, 黒岩龍, 印南圭祐, 小林俊平, 清水信哉, 峯松信明, 広瀬啓吉
電子情報通信学会論文誌 D 96 (3), 644-654, 2013
122013
日本語アクセント・イントネーションの教育・学習を支援するオンラインインフラストラクチャの構築とその評価
峯松信明, 中村新芽, 鈴木雅之, 平野宏子, 中川千恵子, 中村則子, ...
電子情報通信学会論文誌 D 96 (10), 2496-2508, 2013
112013
MFCC enhancement using joint corrupted and noise feature space for highly non-stationary noise environments
M Suzuki, T Yoshioka, S Watanabe, N Minematsu, K Hirose
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
112012
A study on Hidden Structural Model and its application to labeling sequences
Y Qiao, M Suzuki, N Minematsu
2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 118-123, 2009
112009
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Articles 1–20