NDLI: An algorithm for speech segregation of co-channel speech

Content Provider	IEEE Xplore Digital Library
Author	Vishnubhotla, S. Espy-Wilson, C.Y.
Copyright Year	2009
Description	Author affiliation: Institute for Systems Research & Department of Electrical & Computer Engineering, University of Maryland, College Park, USA (Vishnubhotla, S.; Espy-Wilson, C.Y.)
Abstract	This paper introduces an algorithm to separate speech streams from a single-channel speech mixture. Most current speech segregation algorithms allocate speech regions to participating speakers depending on which speaker dominates in which spectro-temporal region. The proposed method is a different approach to speech segregation, in that it separates the participating speaker streams rather than decide in the favor of the dominating speaker. The algorithm depends on a Lease-Squares fitting approach to model the speech mixture as a sum of complex exponentials. The algorithm gives results that are better than an existent algorithm when tested on the same task. The performance on a different database yielded good segregation results, even for Target-to-Masker ratios as low as −15 dB. The algorithm has immense promise for improvement and practical implementation.
Starting Page	109
Ending Page	112
File Size	430046
Page Count	4
File Format	PDF
ISBN	9781424423538
ISSN	15206149
DOI	10.1109/ICASSP.2009.4959532
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-19
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech analysis Speech processing Databases Speech enhancement Signal processing Loudspeakers Spectrogram Educational institutions Testing Image analysis Target-to-Masker Ratio speech segregation speech separation co-channel speech monaural speech auditory scene analysis
Content Type	Text
Resource Type	Article

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