%Aigaion2 BibTeX export from Idiap Publications %Wednesday 04 December 2024 11:28:36 PM @TECHREPORT{Asaei_Idiap-RR-04-2011, author = {Asaei, Afsaneh and Bourlard, Herv{\'{e}} and Cevher, Volkan}, keywords = {Model-Based Compressive Sensing, Multi-party Speech Recognition, Overlapping Speech, Sparse Component Analysis, Sparse Signal Recovery}, projects = {Idiap}, month = {3}, title = {Model-Based Compressive Sensing for Multi-Party Distant Speech Recognition}, type = {Idiap-RR}, number = {Idiap-RR-04-2011}, year = {2011}, institution = {Idiap}, abstract = {We leverage the recent algorithmic advances in compressive sensing, and propose a novel source separation algorithm for efficient recovery of convolutive speech mixtures in spectro-temporal domain. Compared to the common sparse component analysis techniques, our approach fully exploits structured sparsity models to obtain substantial improvement over the existing state-of-the-art. We evaluate our method for separation and recognition of a target speaker in a multi-party scenario. Our results provide compelling evidence of the effectiveness of sparse recovery formulations in speech recognition.}, pdf = {https://publications.idiap.ch/attachments/reports/2011/Asaei_Idiap-RR-04-2011.pdf} }