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Paper Information

Journal:   NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN)   FALL 2007 , Volume 5 , Number 3; Page(s) 147 To 154.
 
Paper: 

LETTER TO SOUND CONVERSION FOR PERSIAN LANGUAGE USING MULTI LAYER PERCEPTRONS

 
 
Author(s):  NAMNABAT M.*, HOMAYOUNPOUR MOHAMMAD MAHDI
 
* DEPT. OF COMPUTER ENG. & INFORMATION TECH., AMIRKABIR UNIVERSITY OF TECHNOLOGY, HAFEZ AVE., TEHRAN, 15914, I.R. IRAN
 
Abstract: 

Construction of letter to sound (LTS) conversion systems in Persian is a difficult task. Because of the omission of some vowels in Farsi orthography, these systems in general have low efficiencies. In this paper, the structure of a letter to sound system, having three-layer architecture, was presented. The first layer is rule-based, and the second layer consists of five multi layer perceptron (MLP) neural networks and a controller section for pronunciations determination. The third layer has a MLP network for detection of geminated letters by using results obtained from the previous steps. The proposed system is designed to produce rational pronunciations for every word, where the rational pronunciation means a phonetic transcription, which follows the correct Farsi syllabification structure and the obvious rules of phonetics. The authors have achieved 88% and 61% correct letters and words performance respectively, which is quite satisfactory for a Farsi language LTS system. The correct letter criterion is the percentage of letters for which the pronunciations have been determined correctly and the correct word criterion is the percentage of words for which the pronunciations of the constituting letters have been determined correctly.

 
Keyword(s): LETTER TO SOUND, TEXT TO PHONEME, GRAPHEME TO PHONEME, FARSI LANGUAGE, NEURAL NETWORK
 
 
References: 
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Click to Cite.
APA: Copy

NAMNABAT, M., & HOMAYOUNPOUR, M. (2007). LETTER TO SOUND CONVERSION FOR PERSIAN LANGUAGE USING MULTI LAYER PERCEPTRONS. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), 5(3), 147-154. https://www.sid.ir/en/journal/ViewPaper.aspx?id=102790



Vancouver: Copy

NAMNABAT M., HOMAYOUNPOUR MOHAMMAD MAHDI. LETTER TO SOUND CONVERSION FOR PERSIAN LANGUAGE USING MULTI LAYER PERCEPTRONS. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN). 2007 [cited 2021May14];5(3):147-154. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=102790



IEEE: Copy

NAMNABAT, M., HOMAYOUNPOUR, M., 2007. LETTER TO SOUND CONVERSION FOR PERSIAN LANGUAGE USING MULTI LAYER PERCEPTRONS. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), [online] 5(3), pp.147-154. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=102790.



 
 
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