Research Article
Hindi Speech Recognition System with Robust Front End-Back End Features
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 64 - Issue 1 |
| Published: February 2013 |
| Authors: Atul Gairola, Swapna Baadkar |
10.5120/10601-5305
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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 },
year = { 2013 },
volume = { 64 },
number = { 1 },
pages = { 42-45 },
doi = { 10.5120/10601-5305 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Atul Gairola
%A Swapna Baadkar
%T Hindi Speech Recognition System with Robust Front End-Back End Features%T
%J International Journal of Computer Applications
%V 64
%N 1
%P 42-45
%R 10.5120/10601-5305
%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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