NEW APPROACH FOR DEVNAGARI TEXT TO SPEECH CONVERSION
Ms. Poonam S. Shetake
Department of E & TC, DKTE’s YCP Polytechnic, Ichalkaranji
Dr. Mr. S.A. Patil
Department of E & TC, TEI, Rajwada Ichalkaranji
Mr. Prashant M. Jadhav
Department of Electronics, TEI, Rajwada Ichalkaranji
64-70
Vol: 4, Issue: 3, 2014
Receiving Date:
2014-06-10
Acceptance Date:
2014-07-11
Publication Date:
2014-08-12
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Abstract
A text to speech converter convert’s normal language text into speech. Text to speech converter is
useful in different applications. Customer support dialog systems Interactive voice response (IVR)
systems etc and are also useful in an applied research. This application is more helpful in banking,
toys and many other applications like checking marks, railways, aid to the physically challenged
persons, language education and fundamental and applied research. etc. But text to speech conversion
is not that much easy for machine as it is for human. Basic steps that machine has to follow for text to
speech analysis are database creation, character recognition and text to speech conversion. For this
paper we have used self created data base using susha font and for character recognition template
matching algorithm is implemented. And according to the result of template matching related wave
files are played.
Keywords:
segmentation, recognition, concatenating
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