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Sound source localization for subband-based two speech separation in room environment

机译:室内环境中基于子带的两个语音分离的声源定位

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摘要

This paper investigates the problem of subband speech separation from a mixture of two speech signals in a room environment. Due to the lack of source information, a sound source localization is proposed for beamformer design in each subband to obtain a good interference suppression with negligible expense on each target signal integrity. Evaluations on real speech data show that the proposed speech separation method offers a good interference suppression level whilst maintaining a low distortion level of the target source.
机译:本文研究了在室内环境中从两个语音信号的混合中分离出子带语音的问题。由于缺乏信源信息,提出了一种声源定位方法,用于每个子带中的波束形成器设计,以获得良好的干扰抑制效果,而对每个目标信号完整性的影响却可以忽略不计。对真实语音数据的评估表明,所提出的语音分离方法提供了良好的干扰抑制水平,同时又保持了目标源的低失真水平。

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