Home > Archive > 2012 > Volume 2 Number 5 (Oct. 2012) >
IJIET 2012 Vol.2(5): 503-506 ISSN: 2010-3689
DOI: 10.7763/IJIET.2012.V2.190

Personalized Model of an Interactive System for Improving the Pronunciation Skills in Autistic Children

Rohit Rathore, Priyamvada Singh, and R. H. Goudar

Abstract—The three major problems identified in the children suffering from Autism Spectrum Disorders are -learning difficulties, communication problems and social interaction problems. The social interaction problems and communication problems further hinder the learning abilities of autistic children. In addition to the special methodologies and techniques that should be employed in designing the effective learning solutions for autistic children, a high degree of personalization is also required, as the problems and learning requirements vary greatly from child to child. This paper focuses on the pronunciation problem which is different for each autistic individual, hence a personalized model of an interactive system is proposed for improving the pronunciation of words in children suffering from Autism Spectrum Disorders, that takes into account the custom needs of the children.

Index Terms—Autism, autism spectrum disorders, virtual avatar, speech-to-text conversion.

Rohit Rathore and Priyamvada Singh are with Information Technology from Graphic Era University, Bell Road, Dehradun (248005), India (e-mail: rohitrathor@gmail.com, priyakip@gmail.com).
Dr. Rayan Goudar is with Graphic Era University Dehradun (248005), India as Associate Professor, Dept. of Computer Science and Engineering (email: rhgoudar@gmail.com)

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Cite: Rohit Rathore, Priyamvada Singh, and R. H. Goudar, "Personalized Model of an Interactive System for Improving the Pronunciation Skills in Autistic Children," International Journal of Information and Education Technology vol. 2, no. 5, pp. 503-506, 2012.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net

 

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