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Hindi Speech Recognition System with Robust Front End-Back End Features

by Atul Gairola, Swapna Baadkar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 64 - Number 1
Year of Publication: 2013
Authors: Atul Gairola, Swapna Baadkar
10.5120/10601-5305

Atul Gairola, Swapna Baadkar . Hindi Speech Recognition System with Robust Front End-Back End Features. International Journal of Computer Applications. 64, 1 ( February 2013), 42-45. DOI=10.5120/10601-5305

@article{ 10.5120/10601-5305,
author = { Atul Gairola, Swapna Baadkar },
title = { Hindi Speech Recognition System with Robust Front End-Back End Features },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 64 },
number = { 1 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 42-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume64/number1/10601-5305/ },
doi = { 10.5120/10601-5305 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:15:17.759472+05:30
%A Atul Gairola
%A Swapna Baadkar
%T Hindi Speech Recognition System with Robust Front End-Back End Features
%J International Journal of Computer Applications
%@ 0975-8887
%V 64
%N 1
%P 42-45
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The ideal aim of a speech recognition system is efficient and accurate conversion of speech signal into text message without any dependence on device, environment, and speaker. In this paper a system for Hindi speech recognition is discussed employing robust front end- back end techniques. At front end MF-PLP is used for feature extraction while continuous density HMM is used at the back end for evaluation. A comparison of MFCC, PLP & MF-PLP is also presented to show the robust characteristics of MF-PLP.

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Index Terms

Computer Science
Information Sciences

Keywords

Feature Extraction Front End Back End MFCC PLP MF-PLP CDHMM

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