Computational methods for underdetermined convolutive speech localization and separation via model-based sparse component analysis
Model-based sparse component analysis exploits structured sparsity for source separation. Spectral sparsity structures are formulated upon the principles of auditory scene analysis. Spatial sparsity structures are formulated upon the image model of multipath propagation. Performance of greedy, convex and Bayesian sparse recovery are evaluated. Ad hoc microphone arrays may lead to significant improvement in SCA performance.
sparse component analysis structured sparse representation model-based sparse recovery reverberation source localization and separation computational auditory scene analysis