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Isolated Word Recognition System for Autistic Speech

Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.3, No. 5)

Publication Date:

Authors : ; ; ; ; ;

Page : 768-772

Keywords : Isolated word; automatic speech recognition; Hidden Markov Model.;

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This paper aims to discuss the implementation of an Isolated Word Recognition system for Autistic speech using Hidden Markov Model (HMM). This system will be able to recognize the spoken words of Autistic children. Autism is a neurological disability which resists the functions of neurons in human brain. The most common problem with autistic children is communication. Focusing on their speech, it is observed that there is a high variability compared to normal speakers’ speech and it is unclear and not always understandable. Considering this, we aim to build a system to recognize the autistic speech and give the output as text and convert it back to clear speech using speech synthesizers.

Last modified: 2014-06-09 21:52:15