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Voice Activity Detection with Generalized Gamma Distribution
Toronto, ON, Canada July 09-July 12
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICME.2006.2626922006 IEEE International Conference on ...
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George Almpanidis, Department of Informatics, Aristotle University of Thessaloniki, Box 451 Thessaloniki, GR-54124, Greece. galba@aiia.csd.auth.gr
Constantine Kotropoulos, Department of Informatics, Aristotle University of Thessaloniki, Box 451 Thessaloniki, GR-54124, Greece. costas@aiia.csd.auth.gr
In this work, we model speech samples with the generalized Gamma distribution and evaluate the efficiency of such modelling for voice activity detection. Using a computationally inexpensive maximum likelihood approach, we employ the Bayesian Information Criterion for identifying the phoneme boundaries in noisy speech.
Citation:
George Almpanidis, Constantine Kotropoulos, "Voice Activity Detection with Generalized Gamma Distribution," icme, pp.961-964, 2006 IEEE International Conference on Multimedia and Expo, 2006
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