This paper explains the conception of auditory scene analysis (ASA) and its effect in speech signals processing. We propose a method about separation of overlapping speech signals using wavelet transform based on auditory scene analysis in this paper.
本文简述了声场景分析(ASA)的概念及其在语音信号处理中的作用，并以小波变换的分析方法为工具，提出一种基于声场景分析的混叠语音信号分离算法。
参考来源 - 基于声场景分析的混叠语音信号分离·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
Above mentioned method could be applied to computational auditory scene analysis.
本文提出的方法可应用于计算声场景分析中。
It aims to resolve problems such as sound segregation, segmentation, sound event and source characterization, auditory scene analysis and music analysis, etc.
它主要被用来解决声音分离、分割、声音事件和声音源的刻划及表征、听觉场景分析和音乐分析等问题。
The most two popular algorithms are Computational Auditory Scene Analysis (CASA) and Blind Source Separation.
目前常用的语音分离方法主要有听觉场景分析法和盲信号分离法。
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