発話音声の音響特徴量を用いた抑うつ度推定手法

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Summary, etc.：: <p>In this paper, we propose a method to estimate speaker's depression score using acoustic features of his/her speech. 150 speech utterances that 15 ...

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Material Type: 記事
Title: 発話音声の音響特徴量を用いた抑うつ度推定手法
Volume: JSAI2023
0
Author/Editor: 森浩貴
目良和也
黒澤義明
竹澤寿幸
Author Heading: MORI Koki
森浩貴
MERA Kazuya
目良和也
KUROSAWA Yoshiaki
黒澤義明
TAKEZAWA Toshiyuki
竹澤寿幸
Publication Date: 2023
Publication Date (W3CDTF): 2023
Alternative Title: Depression score estimating method using acoustic features of speech utterances
Periodical title: 人工知能学会全国大会論文集
Proceedings of the Annual Conference of JSAI
No. or year of volume/issue: JSAI2023 0
Volume: JSAI2023
Issue: 0
Pages: 1O3GS705-1O3GS705
ISSN (Periodical Title): 2758-7347
Alias of Author: MORI Koki
MERA Kazuya
KUROSAWA Yoshiaki
TAKEZAWA Toshiyuki
Subject Heading: Machine Learning
Beck Depression Inventory
Voice Analysis
機械学習
ベックうつ病調査表
音声分析
Target Audience: 一般
DOI: 10.11517/pjsai.JSAI2023.0_1O3GS705
Access Restrictions: インターネット公開
Data Provider (Database): 科学技術振興機構 : J-STAGE
http://www.jstage.jst.go.jp