フルテキストファイル
著者
Ichikawa, Motohiro Graduate School of Engineering
キーワード
speech separation
auditory scene analysis
single input
sequential processing
modified discrete Fourier transform
抄録
Speech separation based on auditory scene analysis (ASA) has been widely studied. A computational ASA (CASA) model, in which a mixed signal is sequentially decomposed into frequency signals, has been also proposed. Four feature types of ASA are extracted from the decomposed frequency signals, and the decomposed frequency signals are regrouped by examining the characteristics of the extracted features. Finally separated speeches are obtained. In this study, the CASA model is improved and pieced out, and the separation performance is examined via a computer simulation.
出版者
IEEE
資料タイプ
会議資料
掲載誌名
2018 IEEE 14th International Conference on Signal Processing (ICSP)
最新掲載誌名
2018 IEEE 14th International Conference on Signal Processing (ICSP)
開始ページ
108
終了ページ
112
発行日
2018-09
著者版フラグ
著者版
著作権表記
© © 2018 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
M. Ichikawa, N. Sasaoka, and I. Nakanishi. A Single Input Model for Sequential Processing of Speech Separation. Proc. of 2018 IEEE International Conference on Information Communication and Signal Processing (ICSP2018), pp. 108-112, Sep. 2018
部局名
工学部・工学研究科
言語
英語