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Reseach Article

Isolated Digits Recognition in Kannada Language

by Gurudath K.P., D.J. Ravi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 140 - Number 10
Year of Publication: 2016
Authors: Gurudath K.P., D.J. Ravi
10.5120/ijca2016909471

Gurudath K.P., D.J. Ravi . Isolated Digits Recognition in Kannada Language. International Journal of Computer Applications. 140, 10 ( April 2016), 23-29. DOI=10.5120/ijca2016909471

@article{ 10.5120/ijca2016909471,
author = { Gurudath K.P., D.J. Ravi },
title = { Isolated Digits Recognition in Kannada Language },
journal = { International Journal of Computer Applications },
issue_date = { April 2016 },
volume = { 140 },
number = { 10 },
month = { April },
year = { 2016 },
issn = { 0975-8887 },
pages = { 23-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume140/number10/24631-2016909471/ },
doi = { 10.5120/ijca2016909471 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:41:56.669212+05:30
%A Gurudath K.P.
%A D.J. Ravi
%T Isolated Digits Recognition in Kannada Language
%J International Journal of Computer Applications
%@ 0975-8887
%V 140
%N 10
%P 23-29
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, have implemented the isolated digit recognition in Kannada language using Hidden Markov Model Toolkit (HTK). Hidden Markov models used as pattern recognizer with the help of MFCC as a featured vector of the wave samples. The paper focuses on all isolated digits of Kannada i.e. Sonne to Ommbattu (0 to 9), The system helps in interaction of rural people and the computer or any system. The system data structure is defined at word level and its performance is evaluated.

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Index Terms

Computer Science
Information Sciences

Keywords

Automatic Speech Recognition (ASR) Mel frequency Cepstral coefficients (MFCC) Hidden Markov Model (HMM) Isolated Kannada digits HMM Toolkit (HTK).