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 [BibTeX] [Marc21]
Computational Methods For Structured Sparse Component Analysis of Convolutive Speech Mixtures
Type of publication: Conference paper
Citation: Asaei_ICASSP_2012
Publication status: Accepted
Booktitle: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing
Year: 2012
Month: March
Abstract: We cast the under-determined convolutive speech separation as sparse approximation of the spatial spectra of the mixing sources. In this framework we compare and contrast the major practical algorithms for structured sparse recovery of speech signal. Specific attention is paid to characterization of the measurement matrix. We first propose how it can be identified using the Image model of multi-path effect where the acoustic parameters are estimated by localizing a speaker and its images in a free space model. We further study the circumstances in which the coherence of the projections induced by microphone array design tend to affect the recovery performance.
Projects Idiap
FP 7
Authors Asaei, Afsaneh
Davies, Michael E.
Bourlard, Hervé
Cevher, Volkan
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Total mark: 0
  • Asaei_ICASSP_2012.pdf