A Novel Method for Permutation Correction in Frequency-Domain in Blind Separation of Speech Mixtures

This paper presents a method for blind separation of convolutive mixtures of speech signals, based on the joint diagonalization of the time varying spectral matrices of the observation records and a novel technique to handle the problem of permutation ambiguity in the frequency domain. Simulations s...

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Hauptverfasser:	Serviere, Christine, Pham, Dinh-Tuan
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Blind Separation Detection, estimation, filtering, equalization, prediction Exact sciences and technology Frequency Domain Approach Impulse Response Information, signal and communications theory Room Impulse Response Signal and communications theory Signal, noise Speech Signal Telecommunications and information theory
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Beschreibung
Zusammenfassung:	This paper presents a method for blind separation of convolutive mixtures of speech signals, based on the joint diagonalization of the time varying spectral matrices of the observation records and a novel technique to handle the problem of permutation ambiguity in the frequency domain. Simulations show that our method works well even for rather realistic mixtures in which the mixing filter has a quite long impulse response and strong echoes.
ISSN:	0302-9743 1611-3349
DOI:	10.1007/978-3-540-30110-3_102