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Please use this identifier to cite or link to this item: http://hdl.handle.net/1812/566

Title: Arabic text-to-speech synthesizer
Authors: Ahmad Qasim Mohammad Al Jayousi
Keywords: Text-to-speech
Synthesizer System
Concatenation Synthesis method
TTS Synthesizer System
Issue Date: Dec-2007
Publisher: University Malaya
Abstract: Text-To-Speech technology has steadily grown over the years to support many languages by utilizing a number of useful methods and techniques. Despite its overall steady growth, Arabic TTS technology has gained little attention. Apart from a few commercial products, an Arabic TTS Synthesizer System has often failed to exceed laboratory boundaries. This dissertation examines the issues, requirements and methodologies involved in developing a useful Arabic TTS Synthesizer System. Additionally, this dissertation describes in details the construction of an Arabic TTS Synthesizer System using the Concatenation Synthesis method, which relies on prerecorded speech units that are utilized by the system to generate concatenated speech. Two types of speech units were used independently: The first consists of 375 diphones that cover Arabic sounds and the other has 178 allophones which cover Arabic sounds. The system consists of several programs and algorithms that are integrated in the form of modules to be easily modified and developed individually in the future. The evaluation of TTS Synthesizer System is also an important issue, but difficult because the speech quality is a very multidimensional term. This has led to the large number of different tests and methods to evaluate different features in speech. Our survey results demonstrate that the majority of the words and sentences are recognizable by the developed Arabic TTS Synthesizer System. In fact, 80 to 85 % of the words and 70 % of the sentences were correctly and completely recognized by the listeners in the survey. Lastly, Arabic TTS speech is considered as intelligible; however, the system still requires further research and developments in many directions including handling various Arabic texts such as dates, abbreviations, foreign names and numbers.
Description: Dissertation (M.C.S.) -- Faculty of Computer Science & Information Technology, University of Malaya, 2007.
URI: http://dspace.fsktm.um.edu.my/handle/1812/566
Appears in Collections:Masters Dissertations: Computer Science

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