Auto Spell Suggestion for High Quality Speech Synthesis in Hindi

Abstract

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.

A context sensitive real-time Spell Checker with language adaptability

“…Some systems might be extended to other languages as well, but there has not been as extensive research in spell checkers for other languages. People have tried to make spell checkers for individual languages: Bengali [7], Czech [8], Danish [9], Dutch [10], Finnish [11], French [12], [13], German [14], [15], Greek [16], Hindi [17], [18], Indonesian [19], Marathi [20], Polish [21], Portuguese [22], Russian [23], [24], Spanish [25], Swedish [26], Tamil [27], Thai [28], etc. This is due to the fact languages are very different in nature and pose different challenges making it difficult to have one solution that work for all languages [29].…”