Research Article
Feature Extraction and Recognition of Hindi Spoken Words using Neural Networks
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 142 - Issue 7 |
| Published: May 2016 |
| Authors: Poonam Sharma, Anjali Garg |
10.5120/ijca2016909870
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Poonam Sharma, Anjali Garg . Feature Extraction and Recognition of Hindi Spoken Words using Neural Networks. International Journal of Computer Applications. 142, 7 (May 2016), 12-17. DOI=10.5120/ijca2016909870
@article{ 10.5120/ijca2016909870,
author = { Poonam Sharma,Anjali Garg },
title = { Feature Extraction and Recognition of Hindi Spoken Words using Neural Networks },
journal = { International Journal of Computer Applications },
year = { 2016 },
volume = { 142 },
number = { 7 },
pages = { 12-17 },
doi = { 10.5120/ijca2016909870 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Poonam Sharma
%A Anjali Garg
%T Feature Extraction and Recognition of Hindi Spoken Words using Neural Networks%T
%J International Journal of Computer Applications
%V 142
%N 7
%P 12-17
%R 10.5120/ijca2016909870
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Automatic Speech Recognition System has been a challenging and interesting area of research in last decades. Only a few researchers have worked on Hindi and other Indian languages. In this paper, a Speech Recognition System for Hindi language based on MFCC, PLP and neural networks is proposed and it was observed that the accuracy of the system was better than other conventional methods.
References
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