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Volume & Issue no: Volume 6, Issue 6, June 2017

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Title:
Study and Analysis of Stuttering Problems Using Artificial Intelligence Techniques
Author Name:
JAYA KUSHWAHA, ANIL KUMAR PANDEY
Abstract:
ABSTRACT Speech is a sequence of number of movement of the muscles that changes their shape to create a basic tone of voice, so that one could understand and easily communicate with others. Many people suffers with the problem in the fluency in the speech, such problems are called stuttering. Major progress is made in the field of biology and technology. There are many type of stuttering like involuntary repetition of the same words and prolongation of the sounds, syllables, words or phrases, and silent pauses in between of the sentences, each of the type is cured in different manner. There have been many researches already done on this problem previously. Usually it is very difficult and complex to classify and categories the speech disorders but, there are many categorisation techniques which could be used to categorize such speech and evaluate the problem like Artificial Neural Networks (ANN), Hidden Markov Model (HMM) and Support Vector Machine (SVM).
Cite this article:
JAYA KUSHWAHA, ANIL KUMAR PANDEY , " Study and Analysis of Stuttering Problems Using Artificial Intelligence Techniques" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 6, Issue 6, June 2017 , pp. 253-255 , ISSN 2319 - 4847.
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