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 |
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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
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.