An adaptive algorithm for speech source separation in overcomplete cases using wavelet packets

Authors:
Behzad Mozaffary;Mohammad A. Tinati;Ali Aghagolzadeh;Abbas Erfanian
Affiliations:
Faculty of Electrical and Computer Engineering, University of Tabriz, Iran;Faculty of Electrical and Computer Engineering, University of Tabriz, Iran;Faculty of Electrical and Computer Engineering, University of Tabriz, Iran;Department of Electrical Engineering, Iran University of Science & Technology
Venue:
SIP'06 Proceedings of the 5th WSEAS international conference on Signal processing
Year:
2006

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Abstract

Speech process has benefited a great deal from the wavelet transforms. Wavelet packets decompose signals in to broader components using linear spectral bisecting. In this paper, mixtures of speech signals are decomposed using wavelet packets, the phase difference between the two mixtures are investigated in wavelet domain. A geometrical model is defined and an adaptive algorithm is proposed based on phase difference parameter in wavelet domain. Speech signals are separated from mixtures in an overcomplete-case.