Performance of quadratic time-frequency distributions in blind source separation of speech signals

Shang, L, Hussain, Z and Harris, R 2004, 'Performance of quadratic time-frequency distributions in blind source separation of speech signals', in I. Oppermann (ed.) Proceedings of the 2004 IEEE International Symposium on Spread Spectrum Techniques and Applications, Sydney, Australia, 30 August -2 September 2004.


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Collection: Conference Papers

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Title Performance of quadratic time-frequency distributions in blind source separation of speech signals
Author(s) Shang, L
Hussain, Z
Harris, R
Year 2004
Conference name International Symposium on Spread Spectrum Techniques and Applications
Conference location Sydney, Australia
Conference dates 30 August -2 September 2004
Proceedings title Proceedings of the 2004 IEEE International Symposium on Spread Spectrum Techniques and Applications
Editor(s) I. Oppermann
Publisher IEEE
Place of publication New Jersey
Abstract Blind source separation (BSS) based on time-frequency distributions (TFD) has certain advantages over other methods, such as allowing the separation of Gaussian sources with identical spectral shape but different t-f localization properties. However, quadratic TFD, which are the most important class of TFD suitable for this approach, differ widely in resolution and ability to reduce the cross-terms that disturb the signal interpretation. This paper investigates the performance of different time-frequency distributions on the blind separation of speech signals and nonlinear FM signals. We also discuss the possibility and the suitability of the solution to convolutive mixture of the speech signals using time-frequency based blind source separation because of its ability to process complex-valued signals.
Subjects Broadband and Modem Technology
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