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A speech-controlled environmental control system for people with severe dysarthria
Mark S Hawley1, Pam Enderby, Phil Green
1Department of Medical Physics and Clinical Engineering, Barnsley Hospital NHS Foundation Trust, UK. mark.hawley@nhs.net
Medical Engineering & Physics
|October 20, 2006
Summary
A new speech recognition system and training program significantly improve voice control for individuals with severe dysarthria, enhancing their ability to operate electronic assistive technology.
Area of Science:
- * Assistive Technology
- * Speech Recognition
- * Biomedical Engineering
Background:
- * Off-the-shelf automatic speech recognition (ASR) systems perform poorly for individuals with severe dysarthria due to speech variability.
- * Existing systems lack sufficient tolerance for the articulation inconsistencies common in dysarthric speech.
- * There is a need for specialized ASR solutions to improve control of electronic assistive technology for this population.
Purpose of the Study:
- * To develop and evaluate a speaker-dependent, limited-vocabulary ASR application with enhanced tolerance for speech variability.
- * To assess a computerized training package designed to improve vocalization consistency in dysarthric speakers and augment recognizer training data.
- * To implement and test a speech-controlled environmental control system (ECS) using the developed ASR technology.
Main Methods:
- * Development of a specialized ASR application with a limited vocabulary and speaker-dependent training.
- * Implementation of a computerized training program to enhance speech consistency and provide additional training data.
- * Field trials of the speech-controlled ECS with individuals experiencing severe dysarthria.
Main Results:
- * User training significantly improved speech recognition rates from 88.5% to 95.4% (p<0.001).
- * The system achieved good recognition rates (mean 86.9%) for individuals with severe dysarthria in home environments.
- * Speech-controlled ECS demonstrated faster task completion times (7.7s vs. 16.9s, p<0.001) compared to switch-scanning systems, despite lower task completion accuracy (78.6% vs. 94.8%).
Conclusions:
- * The developed speech-controlled environmental control system is a viable alternative to switch-scanning systems for some individuals with severe dysarthria.
- * This ASR-based system can lead to more efficient control of the home environment for users with severe dysarthria.
- * The combination of a tolerant ASR system and a targeted training program effectively addresses the challenges of speech control for individuals with dysarthria.
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