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Hindi Number Recognition using GMM

by Himanshu Rai Goyal, Shashidhar Koolagudi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 63 - Number 21
Year of Publication: 2013
Authors: Himanshu Rai Goyal, Shashidhar Koolagudi
10.5120/10589-5429

Himanshu Rai Goyal, Shashidhar Koolagudi . Hindi Number Recognition using GMM. International Journal of Computer Applications. 63, 21 ( February 2013), 25-30. DOI=10.5120/10589-5429

@article{ 10.5120/10589-5429,
author = { Himanshu Rai Goyal, Shashidhar Koolagudi },
title = { Hindi Number Recognition using GMM },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 63 },
number = { 21 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 25-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume63/number21/10589-5429/ },
doi = { 10.5120/10589-5429 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:14:57.639433+05:30
%A Himanshu Rai Goyal
%A Shashidhar Koolagudi
%T Hindi Number Recognition using GMM
%J International Journal of Computer Applications
%@ 0975-8887
%V 63
%N 21
%P 25-30
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper aims at designing and implementation of Hindi number recognition system using the microphone and mobile recorded speech. Spectral features known to represent phonetic information are used as the features to characterize different Hindi digits. Gaussian mixture models (GMM) are used to develop the digit recognition system. This paper focuses on the ten basic Hindi digits where '0' is pronounced as 'shunya' to '9' is pronounced as 'no'. Data has been collected separately from male, female and child speakers using microphone and mobile phone device. The experimental results show that the overall accuracy of digit recognition is 98. 9\% in the case of microphone recorded speech and 96. 4\% in the case of mobile phone recorded speech.

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Index Terms

Computer Science
Information Sciences

Keywords

Gaussian mixture models (GMM) Mel frequency cepstral coefficients (MFCC) Hindi digit microphone database (HDMD) Hindi digit telephonic database (HDTD)

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