Automatic phonetic segmentation of Hindi speech using hidden Markov model

Volume: 27, Issue: 4, Pages: 543 - 549
Published: Feb 17, 2012
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
Volume
27
Issue
4
Pages
543 - 549
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.