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 Voice Activity Detection with Generalized Gamma Distribution
work, we are interested in offline multi-pass voice activity detection (VAD) algorithms suitable for speech communication applications applications such as automatic transcription and speech segmentation. Our goal is to implement and evaluate a robust algorithm for noisy environments, various classes of noise, and short frames....
VOICE ACTIVITY DETECTION WITH GENERALIZED GAMMA DISTRIBUTION
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. 1. INTRODUCTION A common problem in many areas of speech processing is the identification of the presence or absence of a voice...
Voice Activity Detection Using Generalized Gamma ...
In this work, we model speech samples with a two-sided generalized Gamma distribution and evaluate its efficiency 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.
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