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A Comparative Study of Arabic Text-to-Speech Synthesis Systems
Author(s) -
Najwa K. Bakhsh,
Saleh Alshomrani
Publication year - 2014
Publication title -
international journal of information engineering and electronic business
Language(s) - English
Resource type - Journals
eISSN - 2074-9031
pISSN - 2074-9023
DOI - 10.5815/ijieeb.2014.04.04
Subject(s) - pronunciation , intelligibility (philosophy) , computer science , arabic , speech synthesis , speech recognition , natural language processing , empirical research , artificial intelligence , linguistics , mathematics , epistemology , philosophy , statistics
Text-to-speech synthesis is the process of converting written text to speech. The lack of research on the growth of and the need for the Arabic language is notable. Therefore, this paper reports an empirical study that systematically compares two screen readers, namely, NonVisual Desktop Access (NVDA) and IBSAR. We measured the quality of these two systems in terms of standard pronunciation and intelligibility tests with visually impaired or blind people. The results revealed that NVDA outperformed IBSAR on the pronunciation tests. However, both systems gave competitive performance on the intelligibility tests.

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