سال انتشار: ۱۳۸۲

محل انتشار: نهمین کنفرانس سالانه انجمن کامپیوتر ایران

تعداد صفحات: ۷

نویسنده(ها):

Ghayooru – Electrical and Computer Engineering Isfahan University of Technology
Hendessi – Electrical and Computer Engineering Isfahan University of Technology

چکیده:

Speech is the most natural and widespread from of human communication. That’s why speech synthesis has interested researchers for decades. In this paper, a Persian text to speech systemis presented. The system uses speech waveform concatenation method that is comparatively mature in text – to – speech synthesis. This paper discusses the experimental study on the use of neural network in text – to – speech systems for Persian language. In the context of text to phoneme conversion, the neural network demonstrate good performance. It is shown that a network can capture significant portion of regularities in the Persian pronunciation as well as absorb many of the irregularities .