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Fuzzy Speech Recognition: A Review

by Vani H. Y., Anusuya M. A.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 47
Year of Publication: 2020
Authors: Vani H. Y., Anusuya M. A.
10.5120/ijca2020919989

Vani H. Y., Anusuya M. A. . Fuzzy Speech Recognition: A Review. International Journal of Computer Applications. 177, 47 ( Mar 2020), 39-54. DOI=10.5120/ijca2020919989

@article{ 10.5120/ijca2020919989,
author = { Vani H. Y., Anusuya M. A. },
title = { Fuzzy Speech Recognition: A Review },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2020 },
volume = { 177 },
number = { 47 },
month = { Mar },
year = { 2020 },
issn = { 0975-8887 },
pages = { 39-54 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number47/31228-2020919989/ },
doi = { 10.5120/ijca2020919989 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:48:55.436105+05:30
%A Vani H. Y.
%A Anusuya M. A.
%T Fuzzy Speech Recognition: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 47
%P 39-54
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The area of speech recognition is one of the interesting field in speech signal processing. Achieving accuracy and robustness is a very difficult constraint to various environmental factors. Progressive work and reviews in the speech recognition application has been adopted using fuzzy, as one of the technique to improve the recognition accuracies. This review paper reviews the various concepts of fuzzy technique and its applications to speech signal processing area. Since the nature of speech signal is vague, it does not pocess uniformity at all time intervals. To deal with this vagueness and uncertainties, many researchers have suggested fuzzy is one of the better technique to analyze the speech signals. This paper presents the literature work available related to speech recognition using fuzzy techniques.

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Index Terms

Computer Science
Information Sciences

Keywords

Classification Feature Extraction Fuzzy Database Fuzzy logic (FL) probability Fuzzy membership function fuzzy modeling Speech Recognition[SR].

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