ENTRAINMENT ANALYSIS FOR ASSESSMENT OF AUTISTIC SPEECH PROSODY USING BOTTLENECK FEATURES OF DEEP NEURAL NETWORK

被引：0

作者：

Ochi, Keiko ^{[1
]}

Ono, Nobutaka ^{[2
]}

Owada, Keiho ^{[3
]}

Kuroda, Miho ^{[3
]}

Sagayama, Shigeki ^{[4
]}

Yamasue, Hidenori ^{[3
,5
]}

机构：

[1] Graduate School of Informatics, Kyoto University, Kyoto, Japan

[2] Department of Computer Science, Tokyo Metropolitan University, Hino, Japan

[3] Faculty of Medicine, Tokyo University, Tokyo, Japan

[4] University of Tokyo, Tokyo, Japan

[5] Department of Psychiatry, Hamamatsu University, School of Medicine, Hamamatsu, Japan

来源：

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | 2022年 / 2022-May卷

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：8492 / 8496