  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.
