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C-Means Clustering Applied to Speech Discrimination

Górriz, J. M., Ramírez, J., Turias, I., Puntonet, Carlos G., González, J. and Lang, Elmar (2006) C-Means Clustering Applied to Speech Discrimination. 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. 649-656. ISBN 978-3-540-34380-6 ; 978-3-540-34379-0.

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An effective voice activity detection (VAD) algorithm is proposed for improving speech recognition performance in noisy environments. The proposed speech/pause discrimination method is based on a hard-decision clustering approach built over a set of subband log-energies. Detecting the presence of speech frames (a new cluster) is achieved using a basic sequential algorithm scheme (BSAS) according ...


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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:17084
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