Autism Has Unique Vocal Signature, New Technology Reveals
From: University of Kansas News - 07/19/2010
By: Karen Henry

University of Kansas researchers have developed Language Environment Analysis
(LENA), a system that automatically labels and analyzes infant and child
vocalizations from recordings. The research shows that pre-verbal
vocalizations of very young children with autism are distinctly different
from those of normally developing children. LENA also differentiates children
with autism from children with language delay. The researchers say the
findings are a proof of concept that automated analysis of massive samples of
vocalizations can be included in the scientific resources for research on
vocal development. LENA could significantly impact the screening, assessment,
and treatment of autism and the behavioral sciences in general, says Kansas
professor Steven F. Warren. "This technology could help pediatricians screen
children for [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," Warren says. The system features a
processor that fits into the pocket of the child's clothing and records
everything the child vocalizes. 

Read rthe entire article at:
http://www.news.ku.edu/2010/july/19/lena.shtml

Links:
KU scientist shows potential of technology for autism research and treatment
http://www.news.ku.edu/2010/january/25/lena.shtml

LENA
http://www.lenababy.com/Default.aspx

LENA recorder IDs autism with 86 percent accuracy
http://news.cnet.com/8301-27083_3-20011129-247.html

D. Kimbrough Oller
https://itweb2.memphis.edu/fcv/viewprofile.php?uuid=koller

Steven F. Warren
http://www2.ku.edu/~lsi/research/profiles/warren_steve.shtml