小林哲則

教授

Professor 教授, 基幹理工学部

ウェブサイトhttp://researchers.waseda.jp/profile/ja.76c5e337fcb312bb0cc2d69a58dac107.html

出典: Scopus
Pureの文献数とScopusの被引用数に基づいて算出されます

年別の研究成果

Pureに変更を加えた場合、すぐここに表示されます。

フィンガープリント

Tetsunori Kobayashiが活動している研究トピックを掘り下げます。このトピックラベルは、この研究者の研究成果に基づきます。これらがまとまってユニークなフィンガープリントを構成します。

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1239 被引用数
17 h-index
81 Conference contribution
43 Article
34 Conference article
26 Paper
その他
- 1 Chapter

Investigation of network architecture for single-channel end-to-end denoising
Hasumi, T., Kobayashi, T. & Ogawa, T., 2021 1 24, 28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings. European Signal Processing Conference, EUSIPCO, p. 441-445 5 p. 9287753. (European Signal Processing Conference; vol. 2021-January).
研究成果: Conference contribution
Noise-robust attention learning for end-to-end speech recognition
Higuchi, Y., Tawara, N., Ogawa, A., Iwata, T., Kobayashi, T. & Ogawa, T., 2021 1 24, 28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings. European Signal Processing Conference, EUSIPCO, p. 311-315 5 p. 9287488. (European Signal Processing Conference; vol. 2021-January).
研究成果: Conference contribution
Deep Speech Extraction with Time-Varying Spatial Filtering Guided by Desired Direction Attractor
Nakagome, Y., Togami, M., Ogawa, T. & Kobayashi, T., 2020 5, 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 671-675 5 p. 9053629. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2020-May).
研究成果: Conference contribution
2 被引用数 (Scopus)
Mask CTC: Non-autoregressive end-to-end ASR with CTC and mask predict
Higuchi, Y., Watanabe, S., Chen, N., Ogawa, T. & Kobayashi, T., 2020, In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2020-October, p. 3655-3659 5 p.
研究成果: Conference article › 査読
Mentoring-reverse mentoring for unsupervised multi-channel speech source separation
Nakagome, Y., Togami, M., Ogawa, T. & Kobayashi, T., 2020, In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2020-October, p. 86-90 5 p.
研究成果: Conference article › 査読

Investigation of network architecture for single-channel end-to-end denoising

Noise-robust attention learning for end-to-end speech recognition

Deep Speech Extraction with Time-Varying Spatial Filtering Guided by Desired Direction Attractor

Mask CTC: Non-autoregressive end-to-end ASR with CTC and mask predict

Mentoring-reverse mentoring for unsupervised multi-channel speech source separation