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Analysis of momentous fragmentary formants in Talaqi-like neoteric assessment of Quran recitation using MFCC miniature features of Quranic syllables

The use of technological speech recognition systems with a variety of approaches and techniques has grown rapidly in a variety of human-machine interaction applications. Further to this, a computerized assessment system to identify errors in reading the Qur’an can be developed to practice the advant...

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Main Authors: Adam, Mohamad Zulkefli, Shafie, Noraimi, Abas, Hafiza, Azizan, Azizul
Format: Article
Language:English
Published: Science and Information Organization 2021
Subjects:
BP Islam. Bahaism. Theosophy, etc
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/94577/1/MohamadZulkefli2021_AnalysisofMomentousFragmentaryFormants.pdf
http://eprints.utm.my/id/eprint/94577/
http://dx.doi.org/10.14569/IJACSA.2021.0120960
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spelling my.utm.945772022-03-31T15:48:00Z http://eprints.utm.my/id/eprint/94577/ Analysis of momentous fragmentary formants in Talaqi-like neoteric assessment of Quran recitation using MFCC miniature features of Quranic syllables Adam, Mohamad Zulkefli Shafie, Noraimi Abas, Hafiza Azizan, Azizul BP Islam. Bahaism. Theosophy, etc T Technology (General) The use of technological speech recognition systems with a variety of approaches and techniques has grown rapidly in a variety of human-machine interaction applications. Further to this, a computerized assessment system to identify errors in reading the Qur’an can be developed to practice the advantages of technology that exist today. Based on Quranic syllable utterances, which contain Tajweed rules that generally consist of Makhraj (articulation process), Sifaat (letter features or pronunciation) and Harakat (pronunciation extension), this paper attempts to present the technological capabilities in realizing Quranic recitation assessment. The transformation of the digital signal of the Quranic voice with the identification of reading errors (based on the Law of Tajweed) is the main focus of this paper. This involves many stages in the process related to the representation of Quranic syllable-based Recitation Speech Signal (QRSS), feature extraction, non-phonetic transcription Quranic Recitation Acoustic Model (QRAM), and threshold classification processes. MFCC-Formants are used in a miniature state that are hybridized with three bands in representing QRSS combined vowels and consonants. A human-guided threshold classification approach is used to assess recitation based on Quranic syllables and threshold classification performance for the low, medium, and high band groups with performances of 87.27%, 86.86%and 86.33%, respectively. Science and Information Organization 2021-10 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/94577/1/MohamadZulkefli2021_AnalysisofMomentousFragmentaryFormants.pdf Adam, Mohamad Zulkefli and Shafie, Noraimi and Abas, Hafiza and Azizan, Azizul (2021) Analysis of momentous fragmentary formants in Talaqi-like neoteric assessment of Quran recitation using MFCC miniature features of Quranic syllables. International Journal of Advanced Computer Science and Applications, 12 (9). pp. 533-540. ISSN 2158-107X http://dx.doi.org/10.14569/IJACSA.2021.0120960 DOI:10.14569/IJACSA.2021.0120960
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic BP Islam. Bahaism. Theosophy, etc
T Technology (General)
spellingShingle BP Islam. Bahaism. Theosophy, etc
T Technology (General)
Adam, Mohamad Zulkefli
Shafie, Noraimi
Abas, Hafiza
Azizan, Azizul
Analysis of momentous fragmentary formants in Talaqi-like neoteric assessment of Quran recitation using MFCC miniature features of Quranic syllables
description The use of technological speech recognition systems with a variety of approaches and techniques has grown rapidly in a variety of human-machine interaction applications. Further to this, a computerized assessment system to identify errors in reading the Qur’an can be developed to practice the advantages of technology that exist today. Based on Quranic syllable utterances, which contain Tajweed rules that generally consist of Makhraj (articulation process), Sifaat (letter features or pronunciation) and Harakat (pronunciation extension), this paper attempts to present the technological capabilities in realizing Quranic recitation assessment. The transformation of the digital signal of the Quranic voice with the identification of reading errors (based on the Law of Tajweed) is the main focus of this paper. This involves many stages in the process related to the representation of Quranic syllable-based Recitation Speech Signal (QRSS), feature extraction, non-phonetic transcription Quranic Recitation Acoustic Model (QRAM), and threshold classification processes. MFCC-Formants are used in a miniature state that are hybridized with three bands in representing QRSS combined vowels and consonants. A human-guided threshold classification approach is used to assess recitation based on Quranic syllables and threshold classification performance for the low, medium, and high band groups with performances of 87.27%, 86.86%and 86.33%, respectively.
format Article
author Adam, Mohamad Zulkefli
Shafie, Noraimi
Abas, Hafiza
Azizan, Azizul
author_facet Adam, Mohamad Zulkefli
Shafie, Noraimi
Abas, Hafiza
Azizan, Azizul
author_sort Adam, Mohamad Zulkefli
title Analysis of momentous fragmentary formants in Talaqi-like neoteric assessment of Quran recitation using MFCC miniature features of Quranic syllables
title_short Analysis of momentous fragmentary formants in Talaqi-like neoteric assessment of Quran recitation using MFCC miniature features of Quranic syllables
title_full Analysis of momentous fragmentary formants in Talaqi-like neoteric assessment of Quran recitation using MFCC miniature features of Quranic syllables
title_fullStr Analysis of momentous fragmentary formants in Talaqi-like neoteric assessment of Quran recitation using MFCC miniature features of Quranic syllables
title_full_unstemmed Analysis of momentous fragmentary formants in Talaqi-like neoteric assessment of Quran recitation using MFCC miniature features of Quranic syllables
title_sort analysis of momentous fragmentary formants in talaqi-like neoteric assessment of quran recitation using mfcc miniature features of quranic syllables
publisher Science and Information Organization
publishDate 2021
url http://eprints.utm.my/id/eprint/94577/1/MohamadZulkefli2021_AnalysisofMomentousFragmentaryFormants.pdf
http://eprints.utm.my/id/eprint/94577/
http://dx.doi.org/10.14569/IJACSA.2021.0120960
_version_ 1729703191875944448
score 13.211869

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