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。
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。
Perception: Visual Scene Analysis, Object Recognition, Auditory Scene Analysis, Depth Perception, Stereo Vision, Stereograms.
知觉：视觉景象分析、物体辨识、听觉景象分析、深度知觉、立体视觉、立体图。
Auditory scene analysis is the study on how to recognize environmental events with sounds arising from various acoustic sources.
声场景分析主要研究如何在嘈杂的声音中感知环境事件。
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。
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。
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