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.