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Automatic Continuous Speech Segmentation to Improve Tamil Text-to-Speech Synthesis

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International Journal of Computer Applications
© 2011 by IJCA Journal
Number 1 - Article 2
Year of Publication: 2011
Authors:
T.Jayasankar
Dr R.Thangarajan
Dr.J.Arputha Vijaya
10.5120/2994-4023

T.Jayasankar, Dr R.Thangarajan and Dr.J.Arputha Vijaya. Article: Automatic Continuous Speech Segmentation to Improve Tamil Text-to-Speech Synthesis. International Journal of Computer Applications 25(1):31-36, July 2011. Full text available. BibTeX

@article{key:article,
	author = {T.Jayasankar and Dr R.Thangarajan and Dr.J.Arputha Vijaya},
	title = {Article: Automatic Continuous Speech Segmentation to Improve Tamil Text-to-Speech Synthesis},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {25},
	number = {1},
	pages = {31-36},
	month = {July},
	note = {Full text available}
}

Abstract

Emerging growth of information and communication technologies has influenced the research trends to focus on speech technologies. This paper we have investigated the development of automatic Tamil speech segmentation system which would act as test bed as well as foundation for several speech applications involving Tamil language. This study proposes an algorithm for automatic segmentation of Tamil voiced speech. The calculations of absolute energy and zero crossing rates are used to process speech samples to accomplish the segmentation. The Algorithm are written and compiled using Matlab.

Reference

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