Shun Sawada

Scopus著者プロファイル

ウェブサイトhttps://www.tus.ac.jp/ridai/doc/ji/RIJIA01Detail.php?act=nam&kin=ken&diu=7465

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年別の研究成果

研究・技術テーマ

音楽の記号創発に向けた記号と信号の相互最適化フレームワーク

フィンガープリント

Shun Sawada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

3 Conference contribution
1 Article
1 Conference article

Automatic Detection of Poor Tone Quality in Classical Guitar Playing Using Deep Anomaly Detection Method
Ogawa, K., Sawada, S., Katsurada, K. & Ohmura, H., 2023, Proceedings of the 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2023. Institute of Electrical and Electronics Engineers Inc., (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics; vol. 2023-October).
研究成果: Conference contribution › 査読
Speech Synthesis from Articulatory Movements Recorded by Real-time MRI
Otani, Y., Sawada, S., Ohmura, H. & Katsurada, K., 2023, In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2023-August, p. 127-131 5 p.
研究成果: Conference article › 査読
1 被引用数 (Scopus)
Melody2Vec: Distributed representations of melodic phrases based on melody segmentation
Hirai, T. & Sawada, S., 2019, In: Journal of Information Processing. 27, p. 278-286 9 p.
研究成果: Article › 査読

Open Access
18 被引用数 (Scopus)
Transdrums: A Drum Pattern Transfer System Preserving Global Pattern Structure
Sawada, S., Fukayama, S., Goto, M. & Hirata, K., 5月 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 391-395 5 p. 8683647. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).
研究成果: Conference contribution › 査読
2 被引用数 (Scopus)
On Hierarchical Clustering of Spectrogram
Sawada, S., Takegawa, Y. & Hirata, K., 2018, Music Technology with Swing - 13th International Symposium, CMMR 2017, Revised Selected Papers. Davies, M. E. P., Aramaki, M., Kronland-Martinet, R. & Ystad, S. (eds.). Springer Verlag, p. 226-237 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11265 LNCS).
研究成果: Conference contribution › 査読

澤田隼

研究者プロファイル

研究・技術テーマ

フィンガープリント

過去5年の共同研究と上位研究分野

詳細を開く

Automatic Detection of Poor Tone Quality in Classical Guitar Playing Using Deep Anomaly Detection Method

Speech Synthesis from Articulatory Movements Recorded by Real-time MRI

Melody2Vec: Distributed representations of melodic phrases based on melody segmentation

Transdrums: A Drum Pattern Transfer System Preserving Global Pattern Structure

On Hierarchical Clustering of Spectrogram

澤田 隼

研究者プロファイル

研究・技術テーマ

フィンガープリント

過去5年の共同研究と上位研究分野

研究成果

Automatic Detection of Poor Tone Quality in Classical Guitar Playing Using Deep Anomaly Detection Method

Speech Synthesis from Articulatory Movements Recorded by Real-time MRI

Melody2Vec: Distributed representations of melodic phrases based on melody segmentation

Transdrums: A Drum Pattern Transfer System Preserving Global Pattern Structure

On Hierarchical Clustering of Spectrogram

澤田隼