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 [BibTeX] [Marc21]
Multi-party Speech Recovery Exploiting Structured Sparsity Models
Type of publication: Conference paper
Citation: Asaei_INTERSPEECH_2011
Booktitle: Proceedings of Interspeech
Year: 2011
Abstract: We study the sparsity of spectro-temporal representation of speech in reverberant acoustic conditions. This study motivates the use of structured sparsity models for efficient speech recovery. We formulate the underdetermined convolutive speech separation in spectro-temporal domain as the sparse signal recovery where we leverage model-based recovery algorithms. To tackle the ambiguity of the real acoustics, we exploit the Image Model of the enclosures to estimate the room impulse response function through a structured sparsity constraint optimization. The experiments conducted on real data recordings demonstrate the effectiveness of the proposed approach for multi-party speech applications.
Projects Idiap
FP 7
Authors Asaei, Afsaneh
Taghizadeh, Mohammad J.
Bourlard, Hervé
Cevher, Volkan
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Total mark: 0
  • Asaei_INTERSPEECH_2011.pdf