JAIST Repository >
b. 情報科学研究科・情報科学系 >
b10. 学術雑誌論文等 >
b10-1. 雑誌掲載論文 >

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/10119/17071

タイトル: Improving multilingual speech emotion recognition by combining acoustic features in a three-layer model
著者: Li, Xingfeng
Akagi, Masato
キーワード: Multilingual emotion recognition
Human emotional perception
Emotional space
Three-layer model
発行日: 2019-04-03
出版者: Elsevier
誌名: Speech Communication
巻: 110
開始ページ: 1
終了ページ: 12
DOI: 10.1016/j.specom.2019.04.004
抄録: This study presents a scheme for multilingual speech emotion recognition. Determining the emotion of speech in general relies upon specific training data, and a different target speaker or language may present significant challenges. In this regard, we first explore 215 acoustic features from emotional speech. Second, we carry out speaker normalization and feature selection to develop a shared standard acoustic parameter set for multiple languages. Third, we use a three-layer model composed of acoustic features, semantic primitives, and emotion dimensions to map acoustics into emotion dimensions. Finally, we classify the continuous emotion dimensional values into basic categories by using the logistic model trees. The proposed approach was tested on Japanese, German, Chinese, and English emotional speech corpora. The recognition performance was examined and enhanced by cross-speaker and cross-corpus evaluation, and stressed the fact that our strategy is particularly suited for the task of multilingual emotion recognition even with a different speaker or language. The experimental results were found to be reasonably comparable with those of monolingual emotion recognizers as a reference.
Rights: Copyright (C)2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license (CC BY-NC-ND 4.0). [http://creativecommons.org/licenses/by-nc-nd/4.0/] NOTICE: This is the author’s version of a work accepted for publication by Elsevier. Changes resulting from the publishing process, including peer review, editing, corrections, structural formatting and other quality control mechanisms, may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Xingfeng Li and Masato Akagi, Speech Communication, 110, 2019, 1-12, http://dx.doi.org/10.1016/j.specom.2019.04.004
URI: http://hdl.handle.net/10119/17071
資料タイプ: author
出現コレクション:b10-1. 雑誌掲載論文 (Journal Articles)

このアイテムのファイル:

ファイル 記述 サイズ形式
2925.pdf271KbAdobe 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