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Issues and Limitations of HMM in Speech Processing: A Survey

by Chandralika Chakraborty, P.H. Talukdar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 141 - Number 7
Year of Publication: 2016
Authors: Chandralika Chakraborty, P.H. Talukdar
10.5120/ijca2016909693

Chandralika Chakraborty, P.H. Talukdar . Issues and Limitations of HMM in Speech Processing: A Survey. International Journal of Computer Applications. 141, 7 ( May 2016), 13-17. DOI=10.5120/ijca2016909693

@article{ 10.5120/ijca2016909693,
author = { Chandralika Chakraborty, P.H. Talukdar },
title = { Issues and Limitations of HMM in Speech Processing: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { May 2016 },
volume = { 141 },
number = { 7 },
month = { May },
year = { 2016 },
issn = { 0975-8887 },
pages = { 13-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume141/number7/24796-2016909693/ },
doi = { 10.5120/ijca2016909693 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:42:49.953971+05:30
%A Chandralika Chakraborty
%A P.H. Talukdar
%T Issues and Limitations of HMM in Speech Processing: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 141
%N 7
%P 13-17
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Speech is the most natural way of communication among humans. This mode of communication is constituted of two parts, namely sound and sense. The intelligent production and synthesis of speech has intrigued man himself for long and efforts at automated speech recognition, has gone through various phases. Hidden Markov Models (HMMs) provide a simple and effective framework for modeling time-varying spectral vector sequences. Application of HMMs to speech recognition has seen considerable success and gained much popularity. As a consequence, almost all present day speech recognition systems are based on HMMs. The current paper presents a brief study on the HMM based technique applied to speech recognition and also discusses the issues and limitations of HMMs in speech processing.

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Index Terms

Computer Science
Information Sciences

Keywords

Speech recognition speech representation Hidden Markov Model implementation Issues limitations challenges.

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