An informed source separation system for speech signals

Shuhua Zhang (1) , Laurent Girin (1)

1 GIPSA-MAGIC - GIPSA - Machines parlantes, Gestes oro-faciaux, Interaction Face-à-face, Communication augmentée

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 pro- vides much cleaner separated speech signals (consistently 10- 20 dB higher Signal to Interference Ratios), revealing strong potential for audio conference applications.

Mots clés: underdetermined source separation; speech mixture; speech signals sparsity; signal compression

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Shuhua Zhang, Laurent Girin. An informed source separation system for speech signals. Interspeech 2011 - 12th Annual Conference of the International Speech Communication Association, Aug 2011, Florence, Italy. pp.573-576. ⟨hal-00695758⟩