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Hard C-means clustering for voice activity detection

Górriz, J. M. and Ramirez, J. and Lang, Elmar and Puntonet, Carlos G. (2006) Hard C-means clustering for voice activity detection. Speech Communication 48 (12), pp. 1638-1649.

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Abstract

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 on a set of subband log-energies and noise prototypes that define a cluster. Detecting the presence of speech (a new cluster) is achieved using a basic sequential ...

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Item Type:Article
Date:2006
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Identification Number:
ValueType
10.1016/j.specom.2006.07.006 DOI
Keywords:Voice activity detection; Speech recognition; Clustering; C-means; Prototypes; Subband energy
Dewey Decimal Classification:500 Science > 570 Life sciences
Status:Published
Refereed:Unknown
Created at the University of Regensburg:Unknown
Deposited On:12 Oct 2010 09:25
Last Modified:12 Oct 2010 09:25
Item ID:16971
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