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Auto Spell Suggestion for High Quality Speech Synthesis in Hindi

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 87 - Number 17
Year of Publication: 2014
Shikha Kabra
Ritika Agarwal

Shikha Kabra and Ritika Agarwal. Article: Auto Spell Suggestion for High Quality Speech Synthesis in Hindi. International Journal of Computer Applications 87(17):31-34, February 2014. Full text available. BibTeX

	author = {Shikha Kabra and Ritika Agarwal},
	title = {Article: Auto Spell Suggestion for High Quality Speech Synthesis in Hindi},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {87},
	number = {17},
	pages = {31-34},
	month = {February},
	note = {Full text available}


The goal of Text-to-Speech (TTS) synthesis in a particular language is to convert arbitrary input text to intelligible and natural sounding speech. However, for a particular language like Hindi, which is a highly confusing language (due to very close spellings), it is not an easy task to identify errors/mistakes in input text and an incorrect text degrade the quality of output speech hence this paper is a contribution to the development of high quality speech synthesis with the involvement of Spellchecker which generates spell suggestions for misspelled words automatically. Involvement of spellchecker would increase the efficiency of speech synthesis by providing spell suggestions for incorrect input text. Furthermore, we have provided the comparative study for evaluating the resultant effect on to phonetic text by adding spellchecker on to input text.


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