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Comparative Evaluation of Different Mel-Frequency Cepstral Coefficient Features on Qura'nic-Arabic Verification

by Fatma Khaled, Sahar Fawzy
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 84 - Number 16
Year of Publication: 2013
Authors: Fatma Khaled, Sahar Fawzy
10.5120/14664-2975

Fatma Khaled, Sahar Fawzy . Comparative Evaluation of Different Mel-Frequency Cepstral Coefficient Features on Qura'nic-Arabic Verification. International Journal of Computer Applications. 84, 16 ( December 2013), 44-48. DOI=10.5120/14664-2975

@article{ 10.5120/14664-2975,
author = { Fatma Khaled, Sahar Fawzy },
title = { Comparative Evaluation of Different Mel-Frequency Cepstral Coefficient Features on Qura'nic-Arabic Verification },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 84 },
number = { 16 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 44-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume84/number16/14664-2975/ },
doi = { 10.5120/14664-2975 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:01:06.898918+05:30
%A Fatma Khaled
%A Sahar Fawzy
%T Comparative Evaluation of Different Mel-Frequency Cepstral Coefficient Features on Qura'nic-Arabic Verification
%J International Journal of Computer Applications
%@ 0975-8887
%V 84
%N 16
%P 44-48
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This research is concerned with facilitating the use of Al Qaeda Al Norania as an important Learning method in pronunciation proficiency of Arabic Language and Holy Qur'an. Speech Verification techniques were applied to detect how close the trainee's pronunciation is to the guaranteed reference reader. The impact of the number of coefficients and parameterization of Mel-Frequency Cepstral Coefficients (MFCC) on verification accuracy was tested and compared. Al Qaeda Al Norania records and HTK toolbox were used to generate the best verification model for selected Arabic Syllable.

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Index Terms

Computer Science
Information Sciences

Keywords

Hidden Markov Models (HMM) Mel-Frequency Cepstral Coefficient (MFCC) Arabic Speech Verification HTK Toolbox .

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