Model-based compressive sensing for multi-party distant speech recognition

Afsaneh Asaei, Herve Bourlard, Volkan Cevher
2011 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
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
more » ... rio. Our results provide compelling evidence of the effectiveness of sparse recovery formulations in speech recognition.
doi:10.1109/icassp.2011.5947379 dblp:conf/icassp/AsaeiBC11 fatcat:gzadkg4t6jdthkwirfqdm2texa