Automatic phonetic segmentation of Hindi speech using hidden Markov model
Abstract
In this paper, we study the performance of baseline hidden Markov model (HMM) for segmentation of speech signals. It is applied on single-speaker segmentation task, using Hindi speech database. The automatic phoneme segmentation framework evolved imitates the human phoneme segmentation process. A set of 44 Hindi phonemes were chosen for the segmentation experiment, wherein we used continuous density hidden Markov model (CDHMM) with a mixture of...
Paper Details
Title
Automatic phonetic segmentation of Hindi speech using hidden Markov model
Published Date
Feb 17, 2012
Journal
Volume
27
Issue
4
Pages
543 - 549
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