Emotion identification using extremely low frequency components of speech feature contours

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题名:	Emotion identification using extremely low frequency components of speech feature contours
作者:	王家慶;Wang, Jia-Ching;Liao, Wei-Jiun;Hsieh, Wen-Chi;Liao, Wei-Kai;Lin, Chang-Hong
贡献者:	資訊電機學院資訊工程學系
关键词:	Algorithms;Contours;Discriminant analysis;Emotions;Female;Fourier transforms;Humans;Identification and classification;Identification systems;Male;Performance evaluation;Principal Component Analysis;Principal components analysis;Product introduction;Spectrum allocation;Speech;Statistical analysis;Support Vector Machine
日期:	2014-01-01
上传时间:	2026-04-23 13:36:50 (UTC+8)
出版者:	Hindawi Limited;Cairo, Egypt: Hindawi Publishing Corporation
摘要:	摘要： The investigations of emotional speech identification can be divided into two main parts, features and classifiers. In this paper, how to extract an effective speech feature set for the emotional speech identification is addressed. In our speech feature set, we use not only statistical analysis of frame-based acoustical features, but also the approximated speech feature contours, which are obtained by extracting extremely low frequency components to speech feature contours. Furthermore, principal component analysis (PCA) is applied to the approximated speech feature contours so that an efficient representation of approximated contours can be derived. The proposed speech feature set is fed into support vector machines (SVMs) to perform multiclass emotion identification. The experimental results demonstrate the performance of the proposed system with 82.26% identification rate. 其他題名： ScientificWorldJournal 出版者： Cairo, Egypt: Hindawi Publishing Corporation 出版日期： 2014-01-01 出處： TheScientificWorld, 2014-01, Vol.2014 (2014), p.1-7 資源來源： Agricultural & Environmental Science Collection 版權： Copyright © 2014 Chang-Hong Lin et al. 版權： COPYRIGHT 2014 John Wiley & Sons, Inc. 版權： COPYRIGHT 2014 Hindawi Limited 版權： Copyright © 2014 Chang-Hong Lin et al. Chang-Hong Lin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 版權： Copyright © 2014 Chang-Hong Lin et al. 2014 識別號： ISSN: 2356-6140 識別號： ISSN: 1537-744X 識別號： EISSN: 1537-744X 識別號： DOI: 10.1155/2014/757121 識別號： PMID: 24982991
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