Variational EM for binaural sound-source separation and localization

Conference contribution


Publication Details

Author(s): Deleforge A, Forbes F, Horaud R
Publication year: 2013
Pages range: 76-80
ISBN: 978-1-4799-0356-6
ISSN: 2379-190X
Language: English


Abstract

The sound-source separation and localization (SSL) problems are addressed within a unified formulation. Firstly, a mapping between white-noise source locations and binaural cues is estimated. Secondly, SSL is solved via Bayesian inversion of this mapping in the presence of multiple sparse-spectrum emitters (such as speech), noise and reverberations. We propose a variational EM algorithm which is described in detail together with initialization and convergence issues. Extensive real-data experiments show that the method outperforms the state-of-the-art both in separation and localization (azimuth and elevation).


FAU Authors / FAU Editors

Deleforge, Antoine
Professur für Nachrichtentechnik


How to cite

APA:
Deleforge, A., Forbes, F., & Horaud, R. (2013). Variational EM for binaural sound-source separation and localization. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 76-80). Vancouver, CA.

MLA:
Deleforge, Antoine, Florence Forbes, and Radu Horaud. "Variational EM for binaural sound-source separation and localization." Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Vancouver 2013. 76-80.

BibTeX: 

Last updated on 2019-26-04 at 13:10