How Autism Affects Speech Understanding in Multitalker Environments

Abstract

The modern household can be a chaotic place, full of noise from radios, televisions, family members. The ability to separate speech from background noise is a critical skill for understanding spoken language in such environments. Recent studies suggest that adults with Autism Spectrum Disorders have particular difficulty recognizing speech in acoustically-hostile environments (e.g., Alcantara et al. 2004), but an underlying cause for this deficit remains unknown. This proposal tests our hypotheses that children with ASD will find it more difficult to separate the speech of different talkers than do their typically-developing peers. We also predict that they will fail to exploit visual cues on a talker s face to help in this task, further limiting their ability to process input and learn language on a typical schedule. To date, the data do not seem to match our predictions: children with ASD and typical children appear better able to recognize speech in quiet than in noise, and show better recognition when they can see the face of the person instructing them vs. when there is no visual speech information present. However, the data collection is not yet complete, particularly for children with ASD.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2014
Accession Number
ADA613252

Entities

People

  • Elizabeth Redcay
  • Nan Ratner
  • Rochelle S. Newman

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Asperger'S Syndrome
  • Autism
  • Automated Speech Recognition
  • Background Noise
  • Biomedical Research
  • Diseases And Disorders
  • Environment
  • Families (Human)
  • Hypotheses
  • Language
  • Maryland
  • Noise
  • Psychology
  • Recognition
  • Spectra
  • Students

Readers

  • Child and Adolescent Substance Abuse Science in Autism Spectrum Disorders.
  • Educational Psychology
  • Speech Processing/Speech Recognition.