Please use this identifier to cite or link to this item:
http://studentrepo.iium.edu.my/handle/123456789/4572
Title: | Development of an Arabic text-to-speech system | Authors: | Obaid, Mustafa Zeki | Subject: | Speech synthesis Speech processing systems |
Year: | 2011 | Publisher: | Gombak, Selangor :International Islamic University Malaysia,2011 | Abstract in English: | The field of speech synthesis or Text-To-Speech (TTS) has rapidly expanded during the last few years due to the wide range of applications that require human-machine interaction. Arabic language, being the fourth most spoken language on the globe, has received the attention of the researchers in development of an intelligible and close to natural Text-To-Speech system. Most of the available Arabic TTS Systems have drawbacks such as discontinuity, limited vocabulary and poor naturalness. A rule-based Arabic Text-To-Speech system using hybrid synthesis is presented in this dissertation. Sinusoidal model and concatenation using phonemes as the unit of speech were used to implement the hybrid synthesis system. A set of rules was constructed to achieve letter-to-sound mapping and an exception lexicon to cover the words that does not follow a certain pronunciation rule. Using rule-based synthesis makes the system vocabulary independent. A special phonemes inventory was constructed to be used for the Arabic TTS. Applying the accurate stress pattern for Arabic words was successfully achieved which contributed to the overall quality of the system. The evaluation results shows high level of intelligibility with acceptable naturalness with an overall rate of categorical estimation is 3.458 out of 5. | Degree Level: | Master | Call Number: | t TK 7882 S65 O12D 2011 | Kullliyah: | Kulliyyah of Engineering | Programme: | Master of Science in Computer and Information Engineering | URI: | http://studentrepo.iium.edu.my/jspui/handle/123456789/4572 | URL: | https://lib.iium.edu.my/mom/services/mom/document/getFile/3F16tsMDKO30TqtizyQzlMxLfmliocBQ20170912121045451 |
Appears in Collections: | KOE Thesis |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
t00011240231MustafaZekiObaid_SEC_24.pdf | 24 pages file | 172.02 kB | Adobe PDF | View/Open |
t00011240231MustafaZekiObaid_SEC.pdf Restricted Access | full text secured file | 1.33 MB | Adobe PDF | View/Open Request a copy |
Page view(s)
6
checked on May 17, 2021
Download(s)
10
checked on May 17, 2021
Google ScholarTM
Check
Items in this repository are protected by copyright, with all rights reserved, unless otherwise indicated. Please give due acknowledgement and credits to the original authors and IIUM where applicable. No items shall be used for commercialization purposes except with written consent from the author.