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Independent Component Analysis Applied to Voice Activity Detection

Górriz, J. M., Ramírez, J., Puntonet, Carlos G., Lang, Elmar and Stadlthanner, K. (2006) Independent Component Analysis Applied to Voice Activity Detection. In: Alexandrov, Vassil N., (ed.) Computational science - ICCS 2006: 6th international conference, Reading, UK, May 28 - 31, 2006; Prodeedings, Part I. Lecture Notes in Computer Science, 3991. Springer, Berlin, pp. 234-241. ISBN 978-3-540-34380-6 ; 978-3-540-34379-0.

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In this paper we present the first application of Independent Component Analysis (ICA) to Voice Activity Detection (VAD). The accuracy of a multiple observation-likelihood ratio test (MO-LRT) VAD is improved by transforming the set of observations to a new set of independent components. Clear improvements in speech/non-speech discrimination accuracy for low false alarm rate demonstrate the ...


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Item type:Book section
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
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Dewey Decimal Classification:500 Science > 570 Life sciences
Created at the University of Regensburg:Unknown
Item ID:17085
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