Tetsunori Kobayashi

Scopus著者プロファイル

ウェブサイトhttps://w-rdb.waseda.jp/html/100000313_ja.html

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。

1 類似のプロファイル

1333 被引用数
18 h-index
87 Conference contribution
43 Article
35 Conference article
25 Paper
その他
- 1 Chapter

Analysis of Multimodal Features for Speaking Proficiency Scoring in an Interview Dialogue
Saeki, M., Matsuyama, Y., Kobashikawa, S., Ogawa, T. & Kobayashi, T., 2021 1 19, 2021 IEEE Spoken Language Technology Workshop, SLT 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 629-635 7 p. 9383590. (2021 IEEE Spoken Language Technology Workshop, SLT 2021 - Proceedings).
研究成果: Conference contribution
Improved mask-ctc for non-autoregressive end-to-end asr
Higuchi, Y., Inaguma, H., Watanabe, S., Ogawa, T. & Kobayashi, T., 2021, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2021-June, p. 8363-8367 5 p.
研究成果: Conference article › 査読
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
Personalized Extractive Summarization for a News Dialogue System
Takatsu, H., Okuda, M., Matsuyama, Y., Honda, H., Fujie, S. & Kobayashi, T., 2021 1 19, 2021 IEEE Spoken Language Technology Workshop, SLT 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1044-1051 8 p. 9383568. (2021 IEEE Spoken Language Technology Workshop, SLT 2021 - Proceedings).
研究成果: Conference contribution

小林哲則

フィンガープリント

ネットワーク

詳細を開く

Analysis of Multimodal Features for Speaking Proficiency Scoring in an Interview Dialogue

Improved mask-ctc for non-autoregressive end-to-end asr

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

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

Personalized Extractive Summarization for a News Dialogue System

小林 哲則

フィンガープリント

ネットワーク

研究成果

Analysis of Multimodal Features for Speaking Proficiency Scoring in an Interview Dialogue

Improved mask-ctc for non-autoregressive end-to-end asr

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

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

Personalized Extractive Summarization for a News Dialogue System

小林哲則