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The use of speech recognition technology by people living with amyotrophic lateral sclerosis: a scoping review.

Richard CaveSteven Bloch
Published in: Disability and rehabilitation. Assistive technology (2021)
There are gaps in the evidence base: understanding expectations of plwALS and how they use ASR technology; how WER/PER/WRR relates to usability; how ASR use changes as ALS progresses.Implications for rehabilitationDevices that people can interact with using speech are becoming ubiquitous. As movement and mobility are likely to be affected by ALS and progress over time, speech interaction could be very helpful for accessing information and environmental control.However, many people living with ALS (plwALS) also have impaired speech (dysarthria) and experience trouble using voice interaction technology because it may not understand them.Although advances in automated speech recognition (ASR) technology promise better understanding of dysarthric speech, future research needs to investigate how plwALS use ASR, how accurate it needs to be to be functionally useful, and how useful it may be over time as the disease progresses.
Keyphrases
  • amyotrophic lateral sclerosis
  • hearing loss
  • machine learning
  • health information
  • high resolution
  • healthcare
  • deep learning
  • mass spectrometry
  • artificial intelligence