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