12th Annual Conference of the International Speech Communication Association

Florence, Italy
August 27-31. 2011

An Informed Source Separation System for Speech Signals

Shuhua Zhang, Laurent Girin

GIPSA, France

In two previous papers, we proposed an audio Informed Source Separation (ISS) system which can achieve the separation of I > 2 musical sources from linear instantaneous stationary stereo (2-channel) mixtures, based on audio signal's natural sparsity, pre-mix source signals analysis, and side-information embedding (within the mix signal). In the present paper and for the first time, we apply this system to mixtures of (up to seven) simultaneous speech signals. Compared to the reference MPEG-4 Spatial Audio Object Coding system, our system provides much cleaner separated speech signals (consistently 10.20 dB higher Signal to Interference Ratios), revealing strong potential for audio conference applications.

Full Paper

Bibliographic reference.  Zhang, Shuhua / Girin, Laurent (2011): "An informed source separation system for speech signals", In INTERSPEECH-2011, 573-576.