DocumentCode :
1011521
Title :
Blind separation of speech mixtures via time-frequency masking
Author :
Yilmaz, Ozgur ; Rickard, Scott
Author_Institution :
Dept. of Math., Maryland Univ., College Park, MD, USA
Volume :
52
Issue :
7
fYear :
2004
fDate :
7/1/2004 12:00:00 AM
Firstpage :
1830
Lastpage :
1847
Abstract :
Binary time-frequency masks are powerful tools for the separation of sources from a single mixture. Perfect demixing via binary time-frequency masks is possible provided the time-frequency representations of the sources do not overlap: a condition we call W-disjoint orthogonality. We introduce here the concept of approximate W-disjoint orthogonality and present experimental results demonstrating the level of approximate W-disjoint orthogonality of speech in mixtures of various orders. The results demonstrate that there exist ideal binary time-frequency masks that can separate several speech signals from one mixture. While determining these masks blindly from just one mixture is an open problem, we show that we can approximate the ideal masks in the case where two anechoic mixtures are provided. Motivated by the maximum likelihood mixing parameter estimators, we define a power weighted two-dimensional (2-D) histogram constructed from the ratio of the time-frequency representations of the mixtures that is shown to have one peak for each source with peak location corresponding to the relative attenuation and delay mixing parameters. The histogram is used to create time-frequency masks that partition one of the mixtures into the original sources. Experimental results on speech mixtures verify the technique. Example demixing results can be found online at http://alum.mit.edu/www/rickard/bss.html.
Keywords :
blind source separation; maximum likelihood estimation; speech processing; time-frequency analysis; W-disjoint orthogonality; blind separation; demixing; maximum likelihood mixing parameter estimators; power weighted two-dimensional histogram; speech mixtures; speech signals; time-frequency masking; time-frequency representations; Attenuation; Delay estimation; Fourier transforms; Histograms; Lattices; Maximum likelihood estimation; Parameter estimation; Speech coding; Time frequency analysis; Two dimensional displays;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2004.828896
Filename :
1306640
Link To Document :
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