フルテキストファイル
著者
Nakanishi Isao Graduate School of Engineering, Tottori University 研究者総覧 KAKEN
Hanada Junichi Graduate School of Engineering Tottori University
キーワード
speech separation
auditory scene analysis
sequential processing model
抄録
Speech separation based on auditory scene analysis (ASA) has been widely studied. We propose a sequential processing model of computational ASA (CASA), in which a mixed speech is sequentially decomposed into frequency signals using modified Discrete Fourier Transform (DFT), four features in ASA are extracted from the decomposed frequency signals, the frequency signals are regrouped by examining the extracted features, and each separated speech is obtained by recomposing the frequency signals in a group. In this paper, we attempt to separate speeches only using the harmonic structure, which is one of the features and regarded as the backbone in our sequential implementation model.
出版者
IEEE
資料タイプ
会議資料
外部リンク
ISSN・ISBN
978-1-4244-5015-2
掲載誌名
Proceedings of International Symposium on Intelligent Signal Processing and Communication Systems 2015 (ISPACS2015)
最新掲載誌名
Proceedings of International Symposium on Intelligent Signal Processing and Communication Systems 2015 (ISPACS2015)
開始ページ
124
終了ページ
128
発行日
2015
出版者DOI
著者版フラグ
著者版
著作権表記
© © 2015 IEEE. 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.
掲載情報
Proceedings of International Symposium on Intelligent Signal Processing and Communication Systems 2015 (ISPACS2015). 2015, 124-128
部局名
工学部・工学研究科
言語
英語