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Reseach Article

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

by Fatma Khaled, Sahar Fawzy
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.

References
  1. http://www. al-bab. com/arab/language/lang. htm
  2. http://en. wikipedia. org/wiki/Arabic_language
  3. Nour Mohamed Hakany, "??????? ????????? ?????????? ???????"
  4. Ibrahim AbdelMohsen El Bedewy, Mohamed Abed El Qarshy, "????? ?????? ?????? ????? ????? ?? ????? ????? ?????? ?????? ", King Abdul Aziz University.
  5. Mohamed Elmahdy, Rainer Gruhn, and Wolfgang Minker, "Novel Techniques for Dialectal Arabic Speech Recognition", Springer, pp. 2-4, 2012.
  6. Zaidi Razak, Noor Jamaliah Ibrahim, Emran Mohd Tamil, Mohd Yamani Idna Idris, Mohd. Yakub and ZulkifliBin Mohd Yusoff, "Quranic Verse Recitation Feature Extraction Using Mel-Frequency Cepstral Coefficient(MFCC)", In Proceedings of the 4th IEEE International Colloquium on Signal Processing and its Application(CSPA) 2008, 7-9 March 2008, Kuala Lumpur, MALAYSIA.
  7. H. Tabbal, et al "Analysis and Implementation of an Automated Delimiter of Qur'anic Verses in Audio Files using Speech Recognition Techniques". Chapter of the Book "Robust Speech Recognition and Understanding", edited by: Michael Grimm and Kristian Kroschel, 2007.
  8. Bassam A. Q. Al-Qatab , Raja N. Ainon, "Arabic Speech Recognition Using Hidden Markov Model Toolkit(HTK)", 978-1-4244-6716-711 0/$26. 00 ©2010 IEEE.
  9. Vimala. C and Dr. V. Radha, "A Review on Speech Recognition Challenges and approaches", World of Computer Science and Information Technology Journal (WCSIT) ISSN: 2221-0741 Vol. 2, No. 1, 1-7, 2012.
  10. Yacine Yekache, Yekhlef Mekelleche, Belkacem Kouninef, "Towards Quranic reader controlled by speech", (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 2, No. 11, 2011.
  11. Sunita Shah, Tanvi Shah "Arabic a profile" , London SIG Bilingualism, 2007.
  12. S. Young, G. Evermann, M. Gales, T. Hain, D. Kershaw, X. Liu, G. Moore, J. Odell, D. Ollason, D. Povey, J. Odell, D. Ollason, D. Povey, V. Valtchev, and P. Woodland, "The HTK Book. Version 3. 4", Department of Engineering, Cambridge University, UK, 2009.
  13. htp://www. voxforge. org/home/forums/message-boards/acoustic-model-discussions/htk-mfcc-study (http://mphmedia. net/mfccStudy. html)
  14. K. Kumar and R. K. Aggarwal "Hindi Speech Recognition System using HTK" International journal of Computing and Business Research ISSN Vol. 2 issue 2 May 2011.
  15. HTK "Hidden Markov Model Toolkit", available at http://htk. eng. cam. ac. uk,2012.
  16. Mohit Dua, R. K. Aggarwal, Virender Kadyan and Shelza Dua, "Punjabi Automatic Speech Recognition Using HTK", IJCSI International Journal of Computer Science Issues, vol. 9, issue 4, no. 1, July 2012.
  17. Ryan, M. S. and Nudd, G. R. : The Viterbi Algorithm. Department of Computer Science, University of Warwick, Coventry, CV4 7AL, England, February, 1993.
Index Terms

Computer Science
Information Sciences

Keywords

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