Arabic text-to-speech synthesizer

Ahmad Qasim , Mohammad Al Jayousi (2007) Arabic text-to-speech synthesizer. Masters thesis, University of Malaya.

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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.

Item Type: Thesis (Masters)
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Depositing User: MS NOOR ZAKIRA ZULRIMI
Date Deposited: 11 Jul 2013 01:01
Last Modified: 11 Jul 2013 01:01
URI: http://repository.um.edu.my/id/eprint/142

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