A novel software system to facilitate better and easier communication for people with speaking disabilities

Authors:
Usha Banerjee;Gaurav Bora;Gaurav Batra;Ayush Agarwal
Affiliations:
College of Engineering Roorkee, Roorkee, India;College of Engineering Roorkee, Roorkee;College of Engineering Roorkee, Roorkee;College of Engineering, Roorkee
Venue:
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Year:
2012

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Abstract

An application which provides a service of producing speech for any text entered by the user is highly beneficial for the society. A person with speaking disabilities would benefit the most from it. In this paper we have proposed and developed a software system that performs noise reduction and text-to-speech conversion. For removal of noise, text entered by the user is checked for any misspelling or non-standard abbreviation. Each word in the text is processed as a separate token. Each token is checked using three available algorithms - Longest Common Subsequence, Levenshtein distance and Soundex algorithms. Using the above mentioned algorithms we select the best possible variant of the word from a pre-defined wordlist and we replace the word with the best possible replacement. After noise reduction, text is sent as input to a text-to-speech convertor which produces the corresponding sound file which can be played and is audible to the user. This sound file also could be saved for future use.