Use Pronunciation by Analogy for text to speech system in Persian language

نویسندگان

  • Ali Jowharpour
  • Masha allah abbasi dezfuli
  • Mohammad hosein Yektaee
چکیده

The interest in text to speech synthesis increased in the world . text to speech have been developed for many popular languages such as English, Spanish and French and many researches and developments have been applied to those languages. Persian on the other hand, has been given little attention compared to other languages of similar importance and the research in Persian is still in its infancy. Persian language possess many difficulty and exceptions that increase complexity of text to speech systems. For example: short vowels is absent in written text or existence of homograph words. in this paper we propose a new method for persian text to phonetic that base on pronunciations by analogy in words, semantic relations and grammatical rules for finding proper phonetic.

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عنوان ژورنال:
  • CoRR

دوره abs/1107.4796  شماره 

صفحات  -

تاریخ انتشار 2011