An integrated method for blind separation and dereverberation of convolutive audio mixtures
Takuya Yoshioka, Tomohiro Nakatani, Masato Miyoshi · 2008
This paper proposes an integrated method for the blind separa-tion and dereverberation of convolutive audio mixtures. The pro-posed method is based on multichannel blind deconvolution in the frequency domain. Signicant points to be emphasized are as fol-lows: (1) The objective function for optimizing the deconvolution system is derived based on a time-varying all-pole model of source signals, which was proven to be effective for single source derever-beration. This provides the proposed method with the capacity for both separation and dereverberation. (2) An efcient optimization algorithm is developed. This algorithm is realized by decomposing the deconvolution system into an instantaneous separation part and a multichannel auto-regressive part. Illustrative experimental re-sults with an RT60 of 0.6 seconds are reported, where the proposed method showed superiority over a conventional frequency-domain blind separation method. 1.