Multichannel Linear Prediction for Blind Reverberant Audio Source Separation

نویسندگان

  • Ilker Bayram
  • Savaskan Bulek
چکیده

A class of methods based on multichannel linear prediction (MCLP) can achieve effective blind dereverberation of a source, when the source is observed with a microphone array. We propose an inventive use of MCLP as a pre-processing step for blind source separation with a microphone array. We show theoretically that, under certain assumptions, such pre-processing reduces the original blind reverberant source separation problem to a non-reverberant one, which in turn can be effectively tackled using existing methods. We demonstrate our claims using real recordings obtained with an eight-microphone circular array in reverberant environments.

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عنوان ژورنال:
  • CoRR

دوره abs/1702.07713  شماره 

صفحات  -

تاریخ انتشار 2017