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@INPROCEEDINGS{Asaei_INTERSPEECH_2011,
                      author = {Asaei, Afsaneh and Taghizadeh, Mohammad J. and Bourlard, Herv{\'{e}} and Cevher, Volkan},
                    projects = {Idiap, FP 7},
                       title = {Multi-party Speech Recovery Exploiting Structured Sparsity Models},
                   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.},
                         pdf = {https://publications.idiap.ch/attachments/papers/2011/Asaei_INTERSPEECH_2011.pdf}
}