Title :
Phoneme Segment Boundary Detection Based on the Generalized Gamma Distribution
Author :
Almpanidis, George ; Kotropoulos, Constantine
Author_Institution :
Dept. of Informatics, Thessaloniki Univ.
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 segment boundaries in noisy speech
Keywords :
gamma distribution; speech recognition; Bayesian information criterion; generalized gamma distribution; maximum likelihood approach; noisy speech; phoneme segment boundaries; phoneme segment boundary detection; voice activity detection; Acoustic noise; Detection algorithms; Gamma ray detection; Gamma ray detectors; Noise robustness; Signal to noise ratio; Speech analysis; Speech enhancement; Speech processing; Working environment noise;
Conference_Titel :
Industrial Electronics, 2006 IEEE International Symposium on
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0496-7
Electronic_ISBN :
1-4244-0497-5
DOI :
10.1109/ISIE.2006.295545
