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Multi-Microphone acoustic echo cancellation using relative echo transfer functions

机译:使用相对回声传递功能的多麦克风声学回声消除

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Modern hands-free communication devices, such as smart speakers, are equipped with several microphones, and one or more loudspeakers. The most straightforward solution to reduce acoustic echoes is to apply acoustic echo cancellation (AEC) to each microphone. Due to limited computational resources, the implementation of such a solution may not be feasible. To overcome this problem, a method is proposed that uses a primary estimated echo signal, obtained using state-of-the-art AEC, to compute the remaining, or secondary, acoustic echoes. To do this, relative transfer functions between primary and secondary acoustic echo signals, referred to as relative echo transfer functions (RETFs), are estimated and employed. In this work, the acoustic echo transfer functions (AETFs) and RETFs are modeled using convolutive transfer functions. Provided that the distance between microphones is small, the RETFs can be modeled using fewer partitions than the AETFs, which reduces the overall computational complexity.
机译:诸如智能扬声器之类的现代免提通信设备配备了多个麦克风和一个或多个扬声器。减少声学回声的最直接解决方案是对每个麦克风应用声学回声消除(AEC)。由于有限的计算资源,这种解决方案的实现可能不可行。为了克服这个问题,提出了一种方法,该方法使用通过最新的AEC获得的一次估计回波信号来计算剩余或二次回声。为此,估计并采用初级和次级声学回声信号之间的相对传递函数,称为相对回声传递函数(RETF)。在这项工作中,使用回声传递函数对声学回声传递函数(AETF)和RETF进行建模。如果麦克风之间的距离很小,则可以使用比AETF更少的分区对RETF进行建模,从而降低了总体计算复杂度。

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