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2016

Computational methods for underdetermined convolutive speech localization and separation via model-based sparse component analys

3 years 7 months ago
Computational methods for underdetermined convolutive speech localization and separation via model-based sparse component analys
In this paper, the problem of speech source localization and separation from recordings of convolutive underdetermined mixtures is studied. The problem is cast as recovering the spatio-spectral speech information embedded in a microphone array compressed measurements of the acoustic field. A model-based sparse component analysis framework is formulated for sparse reconstruction of the speech spectra in a reverberant acoustic resulting in joint localization and separation of the individual sources. We compare and contrast the computational approaches to model-based sparse recovery exploiting spatial sparsity as well as spectral structures underlying spectrographic representation of speech signals. In this context, we explore identification of the sparsity structures at the auditory and acoustic representation spaces. The auditory structures are formulated upon the principles of structural grouping based on proximity, autoregressive correlation and harmonicity of the spectral coeffici...
Afsaneh Asaei, Hervé Bourlard, Mohammad Jav
Added 10 Apr 2016
Updated 10 Apr 2016
Type Journal
Year 2016
Where SPEECH
Authors Afsaneh Asaei, Hervé Bourlard, Mohammad Javad Taghizadeh, Volkan Cevher
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