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 [BibTeX] [Marc21]
Structured Sparse Acoustic Modeling for Speech Separation
Type of publication: Conference paper
Citation: Asaei_SPARS1_2013
Publication status: Published
Booktitle: Signal Processing with Adaptive Sparse Structured Representations SPARS
Year: 2013
Publisher: SPARS
Note: Abstracts for Communication: http://spars2013.epfl.ch/index.php/Program
Abstract: A novel formulation of acoustic multipath is proposed for estimation of the room acoustic using recordings of unknown concurrent speech sources at unknown locations. The framework exploits sparsity and low-rank structures characterized by the Image method for estimation of the geometry and the absorption factors of the reflective surfaces. The experiments conducted on real data recordings demonstrate the effectiveness of the method for modeling the room acoustic and its application for speech separation and dereverberation.
Projects Idiap
Authors Asaei, Afsaneh
Golbabaee, Mohammad
Bourlard, Hervé
Cevher, Volkan
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  • Asaei_SPARS1_2013.pdf