A new perceptual convolutive blind source separation algorithm for speech separation

TitleA new perceptual convolutive blind source separation algorithm for speech separation
Publication TypeConference Paper
Year of Publication2004
AuthorsPan, Q., and T. Aboulnasr
Conference NameSignal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Pagination323 - 326 vol.1
Date Publishedaug.
Keywordsblind source separation, convolution, filtered-E LMS algorithm, filtering theory, hearing, human auditory system, human ear, perceptual convolutive blind source separation algorithm, speech processing, speech separation
Abstract

In this paper, we address the problem of blind speech signal separation. A new perceptual convolutive blind source separation algorithm is proposed based on filtered-E LMS algorithm and the masking properties of human auditory system. This algorithm emphasizes frequencies to which the human ear is sensitive and de-emphasizes frequencies that are inaudible to human ear by incorporating the properties of human auditory system making it suitable for speech separation. Simulation results on blind speech signal separation show that the proposed algorithm can improve the separated speech quality and has better convergence performance.

URLhttp://dx.doi.org/10.1109/ICOSP.2004.1452647
DOI10.1109/ICOSP.2004.1452647

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