CONF Asaei_INTERSPEECH_2011/IDIAP Multi-party Speech Recovery Exploiting Structured Sparsity Models Asaei, Afsaneh Taghizadeh, Mohammad J. Bourlard, Hervé Cevher, Volkan EXTERNAL http://publications.idiap.ch/attachments/papers/2011/Asaei_INTERSPEECH_2011.pdf PUBLIC Proceedings of Interspeech 2011 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.