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
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||