Multichannel Linear Prediction for Blind Reverberant Audio Source Separation
Sound
2017-02-28 v1 Computational Engineering, Finance, and Science
Abstract
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.
Keywords
Cite
@article{arxiv.1702.07713,
title = {Multichannel Linear Prediction for Blind Reverberant Audio Source Separation},
author = {İlker Bayram and Savaşkan Bulek},
journal= {arXiv preprint arXiv:1702.07713},
year = {2017}
}