Tokihiko Kaburagi

Scopus著者プロファイル

ウェブサイトhttps://hyoka.ofc.kyushu-u.ac.jp/search/details/K002357/index.html

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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

Tokihiko Kaburagi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

2 終了

Temporal continuity and phonological discontinuity in linguistic communication: Collaboration between perceptual psychology, linguistics, and speech science
Nakajima, Y., Ueda, K., Shiraishi, K., Kaburagi, T., Ito, H., Sasaki, T., Ohgushi, K., Mori, S. & Shimada, Y.
JSPS
4/1/07 → 3/31/12
プロジェクト: 研究
Auditory Grammar: Comprehensive study of linguistic and non-linguistic organization
Nakajima, Y., Ueda, K., Kaburagi, T., Ohgushi, K., Sasaki, T. & Mori, S.
JSPS
4/1/02 → 3/31/07
プロジェクト: 研究

28 学術誌
12 会議記事
11 学会誌
6 会議への寄与
その他
- 1 その他
- 1 レター

Differences Among Mixed, Chest, and Falsetto Registers: A Multiparametric Study
Lee, Y., Oya, M., Kaburagi, T., Hidaka, S. & Nakagawa, T., 3月 2023, In: Journal of Voice. 37, 2, p. 298.e11-298.e29
研究成果: ジャーナルへの寄稿 › 学術誌 › 査読
1 被引用数 (Scopus)
AN INVESTIGATION OF THE EFFECTIVENESS OF PHASE FOR AUDIO CLASSIFICATION
Hidaka, S., Wakamiya, K. & Kaburagi, T., 2022, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3708-3712 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2022-May).
研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与
Automatic GRBAS Scoring of Pathological Voices using Deep Learning and a Small Set of Labeled Voice Data
Hidaka, S., Lee, Y., Nakanishi, M., Wakamiya, K., Nakagawa, T. & Kaburagi, T., 2022, (印刷中) In: Journal of Voice.
研究成果: ジャーナルへの寄稿 › 学術誌 › 査読
Control of the vocal tract when experienced saxophonists perform normal notes and overtones
Kaburagi, T., Kato, A., Fukuda, Y. & Taguchi, F., 3月 1 2021, In: Acoustical Science and Technology. 42, 2, p. 83-92 10 p.
研究成果: ジャーナルへの寄稿 › 学術誌 › 査読
1 被引用数 (Scopus)
Automatic estimation of pathological voice quality based on recurrent neural network using amplitude and phase spectrogram
Hidaka, S., Lee, Y., Wakamiya, K., Nakagawa, T. & Kaburagi, T., 2020, In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2020-October, p. 3880-3884 5 p.
研究成果: ジャーナルへの寄稿 › 会議記事 › 査読
4 被引用数 (Scopus)

鏑木時彦

フィンガープリント

ネットワーク

詳細を開く

Temporal continuity and phonological discontinuity in linguistic communication: Collaboration between perceptual psychology, linguistics, and speech science

Auditory Grammar: Comprehensive study of linguistic and non-linguistic organization

Differences Among Mixed, Chest, and Falsetto Registers: A Multiparametric Study

AN INVESTIGATION OF THE EFFECTIVENESS OF PHASE FOR AUDIO CLASSIFICATION

Automatic GRBAS Scoring of Pathological Voices using Deep Learning and a Small Set of Labeled Voice Data

Control of the vocal tract when experienced saxophonists perform normal notes and overtones

Automatic estimation of pathological voice quality based on recurrent neural network using amplitude and phase spectrogram

鏑木 時彦

フィンガープリント

ネットワーク

プロジェクト

Temporal continuity and phonological discontinuity in linguistic communication: Collaboration between perceptual psychology, linguistics, and speech science

Auditory Grammar: Comprehensive study of linguistic and non-linguistic organization

研究成果

Differences Among Mixed, Chest, and Falsetto Registers: A Multiparametric Study

AN INVESTIGATION OF THE EFFECTIVENESS OF PHASE FOR AUDIO CLASSIFICATION

Automatic GRBAS Scoring of Pathological Voices using Deep Learning and a Small Set of Labeled Voice Data

Control of the vocal tract when experienced saxophonists perform normal notes and overtones

Automatic estimation of pathological voice quality based on recurrent neural network using amplitude and phase spectrogram

鏑木時彦