Evaluation of a speech recognition prototype for speakers with moderate and severe dysarthria: A preliminary report

Susan K. Fager, David R. Beukelman, Tom Jakobs, John Paul Hosom

Research output: Contribution to journalArticle

16 Scopus citations


This study described preliminary work with the Supplemented Speech Recognition (SSR) system for speakers with dysarthria. SSR incorporated automatic speech recognition optimized for dysarthric speech, alphabet supplementation, and word prediction. Participants included seven individuals with a range of dysarthria severity. Keystroke savings using SSR averaged 68.2% for typical sentences and 67.5% for atypical phrases. This was significantly different to using word prediction alone. The SSR correctly identified an average of 80.7% of target stimulus words for typical sentences and 82.8% for atypical phrases. Statistical significance could not be claimed for the relations between sentence intelligibility and keystroke savings or sentence intelligibility and system performance. The results suggest that individuals with dysarthria using SSR could achieve comparable keystroke savings regardless of speech severity.

Original languageEnglish (US)
Pages (from-to)267-277
Number of pages11
JournalAAC: Augmentative and Alternative Communication
Issue number4
Publication statusPublished - Dec 1 2010



  • Dysarthria
  • Speech recognition
  • Supplemented speech
  • Voice recognition

ASJC Scopus subject areas

  • Rehabilitation
  • Speech and Hearing

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