English

A Comprehensive Survey on Bengali Phoneme Recognition

Sound 2018-04-30 v2 Computation and Language
Authors: Sadia Tasnim Swarna , Shamim Ehsan , Md. Saiful Islam , Marium E Jannat
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Abstract

Hidden Markov model based various phoneme recognition methods for Bengali language is reviewed. Automatic phoneme recognition for Bengali language using multilayer neural network is reviewed. Usefulness of multilayer neural network over single layer neural network is discussed. Bangla phonetic feature table construction and enhancement for Bengali speech recognition is also discussed. Comparison among these methods is discussed.

Keywords

bengali language processing speech recognition natural language processing

Cite

@article{arxiv.1701.08156,
  title  = {A Comprehensive Survey on Bengali Phoneme Recognition},
  author = {Sadia Tasnim Swarna and Shamim Ehsan and Md. Saiful Islam and Marium E Jannat},
  journal= {arXiv preprint arXiv:1701.08156},
  year   = {2018}
}

Comments

7 pages, reference added in phoneme recognition methods

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