Variational EM for binaural sound-source separation and localization
Deleforge A, Forbes F, Horaud R (2013)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2013
Pages Range: 76-80
Event location: Vancouver
ISBN: 978-1-4799-0356-6
DOI: 10.1109/ICASSP.2013.6637612
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).
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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.
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