From Binaural to Multichannel Blind Source Separation using Fixed Beamforming with HRTFs

Mounira Maazaoui (1) , Yves Grenier (1) , Karim Abed-Meraim (1)

1 TSI - Département Traitement du Signal et des Images

In this article, we are interested in the problem of blind source separation (BSS) for the robot audition, we study the performance of blind source separation with a varying number of sensors in a microphone array placed in the head of an infant size dummy. We propose a two stage blind source separation algorithm based on a fixed beamforming preprocessing using the head related transfer functions (HRTF) of the dummy and a separation algorithm using a sparsity criterion. We show that in the case of robot audition, the use of a multisensor array improves significantly the performance of the source separation algorithm, as compared to the binaural case, up to a limit number of microphones studied in this paper.

Mots clés: blind source separation; binaural; microphone array; HRTF

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

Mounira Maazaoui, Yves Grenier, Karim Abed-Meraim. From Binaural to Multichannel Blind Source Separation using Fixed Beamforming with HRTFs. The 19th International Conference on Systems, Signals and Image Processing, IWSSIP 2012, Apr 2012, Austria. ⟨hal-00683570⟩