Masayuki Suzuki
Masayuki Suzuki
IBM Research
Verified email at - Homepage
Cited by
Cited by
Efficient Knowledge Distillation from an Ensemble of Teachers.
T Fukuda, M Suzuki, G Kurata, S Thomas, J Cui, B Ramabhadran
Interspeech, 3697-3701, 2017
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
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
Speech structure and its application to robust speech processing
N Minematsu, S Asakawa, M Suzuki, Y Qiao
New Generation Computing 28, 299-319, 2010
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
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
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
Use of small unit language model for training large unit language models
M Suzuki, N Itoh, G Kurata
US Patent 10,832,657, 2020
New Advances in Speaker Diarization.
H Aronowitz, W Zhu, M Suzuki, G Kurata, R Hoory
Interspeech, 279-283, 2020
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
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
Effect and analysis of large-scale language model rescoring on competitive asr systems
T Udagawa, M Suzuki, G Kurata, N Itoh, G Saon
arXiv preprint arXiv:2204.00212, 2022
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
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
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
Data augmentation based on vowel stretch for improving children's speech recognition
T Nagano, T Fukuda, M Suzuki, G Kurata
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019
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
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
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
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
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