Analysis of speech properties of neurotypicals and individuals diagnosed with autism and down

Authors:
Mohammed E. Hoque
Affiliations:
Massachusetts Institute of Technology, Cambridge, MA, USA
Venue:
Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility
Year:
2008

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Abstract

Many individuals diagnosed with autism and Down syndrome have difficulties producing intelligible speech. Systematic analysis of their voice parameters could lead to better understanding of the specific challenges they face in achieving proper speech production. In this study, 100 minutes of speech data from natural conversations between neurotypicals and individuals diagnosed with autism/Down-syndrome was used. Analyzing their voice parameters indicated new findings across a variety of speech parameters. An immediate extension of this work would be to customize this technology allowing participants to visualize and control their speech parameters in real time and get live feedback.