DocumentCode
2955018
Title
Voice Activity Detection with Generalized Gamma Distribution
Author
Almpanidis, George ; Kotropoulos, Constantine
Author_Institution
Dept. of Informatics, Aristotle Univ. of Thessaloniki
fYear
2006
fDate
9-12 July 2006
Firstpage
961
Lastpage
964
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICME.2006.262692
Filename
4036761
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