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Using automatic speech recognition (ASR) to detect dysarthria speech impairment
What is it about?
This work compares ASR accuracy (Google speech-to-text) to intelligibility and clinician ratings of speech impairment. We found that ASR accuracy is less consistent than intelligibility and aligns with clinician ratings only in a general sense. ASR may be appropriate in some instances to determine dysarthria severity, but it should not be used as a one-to-one substitute for intelligibility.
Why is it important?
ASR systems are becoming more accurate and more easily accessible. Because they compute accuracy automatically and objectively, they may offer a more efficient approach to rating speech intelligibility and severity in people with dysarthria. Currently, ASR is being used by some clinicians and in research settings, particularly those that have collected large amounts of speech data. It is important to understand the limitations and appropriate uses of this new tool.