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Indexed by:期刊论文

Date of Publication:2006-03-05

Journal:6th International Conference on Independent Component Analysis and Blind Signal Separation

Included Journals:SCIE、EI、CPCI-S、Scopus

Volume:3889

Page Number:739-746

ISSN No.:0302-9743

Abstract:Different from the traditional ICA that recovers all the source signals simultaneously, the ICA with reference (ICA-R) extracts only some desired source signals from the mixtures of source signals by incorporating some a priori information into the separation process. This paper applies ICA-R to extracting a target speech signal from its noisy linear mixtures by constructing a proper reference signal with the empirical mode decomposition (EMD). Specifically, EMD is used to obtain an approximate envelope of the power spectrum of the desired speech, which is quite different from the power spectra of the environmental noises. The results of computer simulations and performance analyses demonstrate the efficiency of the proposed method.