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Autistic Children Diagnosed through Speech

By IGI Global on Sep 3, 2010
A technological breakthrough may give doctors the opportunity to diagnose autism in children as young as 18 months. Language Environment Analysis, or LENA, is a software system that is able to process and analyze vocalizations of young children, giving researchers more feedback on potential autistic signals. "This technology could help pediatricians screen children for ASD [autism spectrum disorders] to determine if a referral to a specialist for a full diagnosis is required and get those children into earlier and more effective treatments," said Professor Steven Warren, Kansas University, USA, who has worked extensively with the new processor.

Studies involving 232 children were led by Professor D. Kimbrough Oller in association with Warren and their research group, beginning in 2006. Using recordings of the children's natural sounds and the LENA system, the group was able to successfully identify children with developing autistic symptoms approximately 86% of the time. Vocalization development can allude to the formation of autistic tendencies, allowing researchers to differentiate between typically developing children and their counterparts already diagnosed with autistic inclinations. These findings will allow doctors to provide appropriate treatment and/or therapy recommendations, as well as potentially diagnose or screen children at a much younger age, hopefully establishing more cost-effective options for parents. ( www.infozine.com/news/stories/op/storiesView/sid/42399/)

Machine Audition: Principles, Algorithms and SystemsTechnologies such as LENA can use sound patterns and speech enhancement techniques to help researchers and healthcare professionals develop treatments more useful to patients. In order to benefit more people, innovative and updated research is necessary for experts to expand their knowledge and discoveries. In order to satisfy the need for this research, IGI Global presents one of its most recent releases, Machine Audition: Principles, Algorithms and Systems, edited by Dr. Wenwu Wang, University of Surrey, UK. Dr. Wang explores systems, software, and advances in computer audio research, delving into applications for perception and cognition, psychology, pattern recognition, artificial intelligence, and more.

"The book is the first of its kind that describes the theoretical, algorithmic and systematic results from the area of machine audition," Wang explains. "The book intends to bring together the advances in recent algorithmic developments, bridge the gaps between the methodologies adopted by the various disciplines, and overlook future directions in this subject."

Human and computer interaction in this field is important, allowing for developments such as LENA, to better diagnose autism, and achieve many other important goals. This reference promotes research illuminating the design and advancement of such technologies. For more information on this title, please visit: www.igi-global.com/Bookstore/TitleDetails.aspx?TitleId=40288.

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