Title :
Voice Activity Detection with Generalized Gamma Distribution
Author :
Almpanidis, George ; Kotropoulos, Constantine
Author_Institution :
Dept. of Informatics, Aristotle Univ. of Thessaloniki
Abstract :
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
Keywords :
Bayes methods; maximum likelihood detection; signal sampling; speech processing; speech recognition; speech synthesis; Bayesian information criterion; generalized Gamma distribution; maximum likelihood approach; noisy speech; phoneme boundary; speech sample; voice activity detection; Bayesian methods; Gamma ray detection; Gamma ray detectors; Maximum likelihood detection; Maximum likelihood estimation; Signal to noise ratio; Speech analysis; Speech enhancement; Statistics; Working environment noise;
Conference_Titel :
Multimedia and Expo, 2006 IEEE International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0366-7
Electronic_ISBN :
1-4244-0367-7
DOI :
10.1109/ICME.2006.262692
