Speech Synthesis System for the Holy Quran Recitation
Joint Authors
Bettayeb, Nadjla
Guerti, Mhania
Source
The International Arab Journal of Information Technology
Issue
Vol. 18, Issue 1 (31 Jan. 2021), pp.8-15, 8 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2021-01-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper aims to develop a Text-To-Speech (TTS) synthesis system for the holly Quran recitation, to properly helps reciters and facilitates its use.
In this work, the unit selection method is adopted and improved to reach a good speech quality.
The proposed approach consists mainly of two steps.
In the first one, an Expert System (ES) module is integrated by employing Arabic, Quran language, phonetic and phonological features.
This part was considered as a preselection to optimize the synthesis algorithm's speed.
The second step is the final selection of units by minimizing a concatenation cost function and a forward-backward dynamic programming search.
The system is evaluated by native and non-native Arabic speakers.
The results show that the goal of a correct Quran recitation by respecting its reading rules was reached, with 97 % of speech intelligibility and 72.13% of naturalness.
American Psychological Association (APA)
Bettayeb, Nadjla& Guerti, Mhania. 2021. Speech Synthesis System for the Holy Quran Recitation. The International Arab Journal of Information Technology،Vol. 18, no. 1, pp.8-15.
https://search.emarefa.net/detail/BIM-1430915
Modern Language Association (MLA)
Bettayeb, Nadjla& Guerti, Mhania. Speech Synthesis System for the Holy Quran Recitation. The International Arab Journal of Information Technology Vol. 18, no. 1 (Jan. 2021), pp.8-15.
https://search.emarefa.net/detail/BIM-1430915
American Medical Association (AMA)
Bettayeb, Nadjla& Guerti, Mhania. Speech Synthesis System for the Holy Quran Recitation. The International Arab Journal of Information Technology. 2021. Vol. 18, no. 1, pp.8-15.
https://search.emarefa.net/detail/BIM-1430915
Data Type
Journal Articles
Language
English
Notes
Text in English ; abstracts in .
Record ID
BIM-1430915