Separating independent speech sources from their convolutive mixtures in a reverberant acoustic environment is a challenging problem because of two difficulties: (a) very little is known about the source signals or the way they are mixed, and (b) both spatial interference from competing sources and temporal echoes due to room reverberation are observed in the mixtures. In this paper, after blindly identifying the acoustic MIMO system, we deal with spatial interference and temporal echoes in two different steps by converting an M x A MIMO system into SIMO systems. The performance is evaluated by simulations with measurements obtained in the varechoic chamber at Bell Labs.
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机译：将独立的语音源与反射声学环境中的卷曲混合物分开是一个具有挑战性的问题，因为两个困难：（a）据了解它们的源信号或它们混合的方式很少，并且（b）来自竞争来源的空间干扰在混合物中观察到由于室内混响引起的时间回波。在本文中，通过将M X MIMO系统转换为SIMO系统，在盲目地识别声学MIMO系统之后，在两个不同的步骤中处理空间干扰和时间回声。通过模拟评估性能，通过在贝尔实验室的Varechoice室中获得的测量来评估。
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