| Efficient Knowledge Distillation from an Ensemble of Teachers. T Fukuda, M Suzuki, G Kurata, S Thomas, J Cui, B Ramabhadran Interspeech, 3697-3701, 2017 | 233 | 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 | 118 | 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 | 101 | 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 | 42 | 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 | 33 | 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 | 25 | 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 | 23 | 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 | 19 | 2020 |
| New Advances in Speaker Diarization. H Aronowitz, W Zhu, M Suzuki, G Kurata, R Hoory Interspeech, 279-283, 2020 | 19 | 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 | 19 | 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 | 18 | 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 | 16 | 2022 |
| 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 | 16 | 2013 |
| 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 | 16 | 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 | 16 | 2009 |
| 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 | 14 | 2016 |
| 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 | 13 | 2019 |
| 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 | 13 | 2013 |
| 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 | 13 | 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 | 11 | 2012 |
Nobuaki MinematsuThe University of TokyoEmail được xác minh tại gavo.t.u-tokyo.ac.jp
