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8

ICMCS
2006
IEEE

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Voice Activity Detection with Generalized Gamma Distribution

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Voice Activity Detection with Generalized Gamma Distribution

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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.

George Almpanidis, Constantine Kotropoulos

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Generalized Gamma Distribution | ICMCS 2006 | Inexpensive Maximum Likelihood | Voice Activity Detection |

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Added	11 Jun 2010
Updated	11 Jun 2010
Type	Conference
Year	2006
Where	ICMCS
Authors	George Almpanidis, Constantine Kotropoulos

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