Tetsuji Ogawa

Scopus著者プロファイル

ウェブサイトhttps://w-rdb.waseda.jp/html/100000778_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

Tetsuji Ogawa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

346 被引用数
9 h-index
49 Conference contribution
18 Conference article
16 Article
8 Paper

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
1 被引用数 (Scopus)
Efficient and stable adversarial learning using unpaired data for unsupervised multichannel speech separation
Nakagome, Y., Togami, M., Ogawa, T. & Kobayashi, T., 2021, 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021. International Speech Communication Association, p. 2323-2327 5 p. (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH; vol. 3).
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
3 被引用数 (Scopus)
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

小川哲司

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

Efficient and stable adversarial learning using unpaired data for unsupervised multichannel speech separation

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

小川 哲司

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

Efficient and stable adversarial learning using unpaired data for unsupervised multichannel speech separation

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

小川哲司