Article
Usable speech processing: a filterless approach in the presence of interference
IEEE Circuits and Systems Magazine
(2011)
Abstract
A speech signal is commonly corrupted by non-stationary interference in different environments. The interference distributes itself nonuniformly over the temporal regions of the signal. This makes certain segments more speech dominant and hence, “usable” for speech processing applications like speaker identification and speech recognition. The main part of this paper examines the detection of usable segments in a co-channel environment having two interfering speakers. A method based on determining the Target-to-Interferer Ratio to detect the usable portions in which one speaker is very dominant over the other is discussed. A short discussion of additive noise distortion follows. Experimental results are presented.
Disciplines
Publication Date
June 9, 2011
DOI
10.1109/MCAS.2011.941078
Citation Information
Brett Y. Smolenski and Ravi P. Ramachandran. "Usable speech processing: a filterless approach in the presence of interference" IEEE Circuits and Systems Magazine Vol. 11 Iss. 2 (2011) p. 8 - 22 Available at: http://works.bepress.com/ravi-ramachandran/39/