2006 IEEE International Conference on Multimedia and Expo
Voice Activity Detection with Generalized Gamma Distribution
Toronto, ON, Canada
July 09-July 12
ISBN: 1-4244-0366-7
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.