An NSF-funded project designed to improve the ability of artificial-intelligence-based automatic speech recognition systems (ASRs) to understand the speech of people who stutter. The project has implications for improving employment opportunities and quality of life for people who stutter. Developing guidance frameworks to help tech companies better understand stuttering, as well as developing our own AI-based ASR to accurately parse stuttered speech. This is community-based, user-inspired research and service, because we are partnered with support organizations for people who stutter, and because the focus is on improvements in end-user quality of life.


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Project Contact:

  • J Scott Yaruss
  • Communicative Sciences Disorders Cas
  • College of Communication Arts and Sciences



Partners

  • Friends: The National Association of Young People Who Stutter
  • National Stuttering Association
  • World Stuttering Network
  • Friends: The National Association of Young People Who Stutter




Report of calendar year 2022 activity.