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{Binaural and multiple-microphone signal processing motivated by auditory perception}
Type of publication: Inproceedings
Citation: Stern2008
Booktitle: Hands-Free Speech Communication and Microphone Arrays, 2008. HSCMA 2008.
Number: Cd
Year: 2008
Pages: 98--103
URL: http://ieeexplore.ieee.org/xpl...
Abstract: It is well known that binaural processing is very useful for separating incoming sound sources as well as for improving the in- telligibility of speech in reverberant environments. This paper describes and compares a number ofways in which the classic model of interaural cross-correlation proposed by Jeffress, quantified by Colburn, and further elaborated by Blauert, Lindemann, and others, can be applied to improving the accuracy of automatic speech recognition systems operating in cluttered, noisy, and reverberant environments. Typical implementations begin with an abstraction of cross-correlation of the incoming signals after nonlinear monaural bandpass processing, but there are many alternative implementation choices that can be considered. These implementations differ in the ways in which an enhanced version of the desired signal is developed using binaural principles, in the extent to which specific processing mechanisms are used to impose suppression motivated by the precedence effect, and in the precise mechanism used to extract interaural time differences.
Userfields: bdsk-url-1={http://ieeexplore.ieee.org/xpls/abs%5C_all.jsp?arnumber=4538697}, date-added={2012-09-23 10:50:23 +0200}, date-modified={2012-09-23 10:50:23 +0200}, file={:home/jim/Desktop/sortedLiterature/sound localization/hscma08-BINAURAL AND MULTIPLE-MICROPHONE SIGNAL PROCESSING.pdf:pdf}, project={fremdliteratur},
Keywords: auditory models, binaural hearing, rever- beration, robust speech recognition
Authors Stern, RM
GouvĂȘa, E
Kim, Chanwoo
Kumar, Kshitiz
Park, Hyung-Min
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