文章基本信息

标题：Post-Processing for the Mask of Computational Auditory Scene Analysis in Monaural Speech Segregation
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作者：Wen-Hsing Lai ; Cheng-Jia Yang ; Siou-Lin Wang 等
期刊名称：Computación y Sistemas
印刷版ISSN：1405-5546
出版年度：2017
卷号：21
期号：4
页码：819-827
语种：English
出版社：Instituto Politécnico Nacional
其他摘要：Speech segregation is one of the most difficult tasks in speech processing. This paper uses computational auditory scene analysis, support vector machine classifier, and post - processing on binary mask to separate speech from background noise. Mel - frequency cepstral coefficients and pitch are the two features used for support vector machine classi fication. Connected Component Labeling, Hole Filling, and Morphology are applied on the resulting binary mask as post - processing. Experimental results show that our method separates speech from background noise effectively.
其他关键词：CASA; Connected Compon ent Labeling; SVM.