JAIST Repository >
b. 情報科学研究科・情報科学系 >
b11. 会議発表論文・発表資料等 >
b11-1. 会議発表論文・発表資料 >

このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/17069

タイトル: Predicting Valence and Arousal by Aggregating Acoustic Features for Acoustic-Linguistic Information Fusion
著者: Atmaja, Bagus Tris
Hamada, Yasuhiro
Akagi, Masato
キーワード: valence, arousal
affective computing
feature aggregation
feature fusion
発行日: 2020-11-19
出版者: Institute of Electrical and Electronics Engineers (IEEE)
誌名: 2020 IEEE REGION 10 CONFERENCE (TENCON)
開始ページ: 1081
終了ページ: 1085
DOI: 10.1109/TENCON50793.2020.9293899
抄録: This paper presents an evaluation of acoustic feature aggregation and acoustic-linguistic features combination for valence and arousal prediction within a speech. First, acoustic features were aggregated from chunk-based processing for story-based processing. We evaluated mean and maximum aggregation methods for those acoustic features and compared the results with the baseline, which used majority voting aggregation. Second, the extracted acoustic features are combined with linguistic features for predicting valence and arousal categories: low, medium, or high. The unimodal result using acoustic features aggregation showed an improvement over the baseline majority voting on development partition for the same acoustic feature set. The bimodal results (by combining acoustic and linguistic information at the feature level) improved both development and test scores over the official baseline. This combination of acoustic-linguistic information targeted speech-based applications where acoustic and linguistic features can be extracted from the sole speech modality.
Rights: This is the author's version of the work. Copyright (C) 2020 IEEE. 2020 IEEE REGION 10 CONFERENCE (TENCON), 2020, pp.1081-1085. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: http://hdl.handle.net/10119/17069
資料タイプ: author
出現コレクション:b11-1. 会議発表論文・発表資料 (Conference Papers)

このアイテムのファイル:

ファイル 記述 サイズ形式
3366.pdf164KbAdobe PDF見る/開く

当システムに保管されているアイテムはすべて著作権により保護されています。

 


お問い合わせ先 : 北陸先端科学技術大学院大学 研究推進課図書館情報係