A new study shows that automatic speech recognition (ASR) systems trained on speech from people with Parkinson's disease are 30% more accurate in transcribing similar speech patterns. Researchers collected over 151 hours of recordings from participants with varying degrees of dysarthria, a speech disorder common in Parkinson's patients, and used the data to train ASR systems.
Improving Voice Recognition for People with Speech Disabilities
Neuroscience News - 27 Sep 2024 20:55
A new study shows that automatic speech recognition (ASR) systems trained on speech from people with Parkinson's disease are 30% more accurate in transcribing similar speech patterns. Researchers collected over 151 hours of recordings from participants with varying degrees of dysarthria, a speech disorder common in Parkinson's patients, and used the data to train ASR systems.
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