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Automatic Speech Recognition System: A Review

by Neerja Arora
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 151 - Number 1
Year of Publication: 2016
Authors: Neerja Arora
10.5120/ijca2016911368

Neerja Arora . Automatic Speech Recognition System: A Review. International Journal of Computer Applications. 151, 1 ( Oct 2016), 24-28. DOI=10.5120/ijca2016911368

@article{ 10.5120/ijca2016911368,
author = { Neerja Arora },
title = { Automatic Speech Recognition System: A Review },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2016 },
volume = { 151 },
number = { 1 },
month = { Oct },
year = { 2016 },
issn = { 0975-8887 },
pages = { 24-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume151/number1/26197-2016911368/ },
doi = { 10.5120/ijca2016911368 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:55:56.476780+05:30
%A Neerja Arora
%T Automatic Speech Recognition System: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 151
%N 1
%P 24-28
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Speech is the most prominent & primary mode of Communication among human beings. Now-a-days Speech also has potential of being important mode of interaction with computers. This paper gives an overview of Automatic Speech Recognition System, Classification of Speech Recognition System and also includes overview of the steps followed for developing the Speech Recognition System in stages. This paper also helps in choosing the tool and technique along with their relative merits & demerits. A comparative study of different techniques is also included in this paper.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Automatic Speech Recognition (ASR) ASR classification Speech Analysis Feature Extraction Modelling Techniques Language Modelling Testing ASR Tools.

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