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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Obaid, Mustafa Zeki | en_US |
dc.date.accessioned | 2020-08-20T11:17:39Z | - |
dc.date.available | 2020-08-20T11:17:39Z | - |
dc.date.issued | 2011 | - |
dc.identifier.uri | http://studentrepo.iium.edu.my/jspui/handle/123456789/4572 | - |
dc.description.abstract | 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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Gombak, Selangor :International Islamic University Malaysia,2011 | en_US |
dc.rights | Copyright International Islamic University Malaysia | |
dc.subject.lcsh | Speech synthesis | en_US |
dc.subject.lcsh | Speech processing systems | en_US |
dc.title | Development of an Arabic text-to-speech system | en_US |
dc.type | Master Thesis | en_US |
dc.identifier.url | https://lib.iium.edu.my/mom/services/mom/document/getFile/3F16tsMDKO30TqtizyQzlMxLfmliocBQ20170912121045451 | - |
dc.description.identity | t00011240231MustafaZekiObaid | en_US |
dc.description.identifier | Thesis : Development of an Arabic text-to-speech system /by Mustafa Zeki Obaid | en_US |
dc.description.kulliyah | Kulliyyah of Engineering | en_US |
dc.description.programme | Master of Science in Computer and Information Engineering | en_US |
dc.description.degreelevel | Master | |
dc.description.callnumber | t TK 7882 S65 O12D 2011 | en_US |
dc.description.notes | Thesis (MSCIE)--International Islamic University Malaysia, 2011. | en_US |
dc.description.physicaldescription | xv, 123 leaves :ill. ;30cm. | en_US |
item.openairetype | Master Thesis | - |
item.grantfulltext | open | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | KOE Thesis |
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File | Description | Size | Format | |
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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 |
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