As Mark Hasegawa-Johnson combed through data from his latest project, he was pleasantly surprised to uncover a recipe for Eggs Florentine. Sifting through hundreds of hours of recorded speech will unearth a treasure or two, he said.
Beckman Institute for Advanced Science and Technology Sep 27 2024 As Mark Hasegawa-Johnson combed through data from his latest project, he was pleasantly surprised to uncover a recipe for Eggs Florentine. Sifting through hundreds of hours of recorded speech will unearth a treasure or two, he said.
This study appears in the Journal of Speech, Language, and Hearing Research. The speech recordings used in the study are freely available to researchers, nonprofits and companies looking to improve their voice recognition devices. Voice recognition technology does not work well for everyone; in particular, those with neuromotor disorders like Parkinson's disease that can cause a range of strained, slurred or discoordinated speech patterns, collectively called dysarthria.
Hasegawa-Johnson and his colleagues recruited about 250 adults with varying degrees of dysarthria related to Parkinson's disease. Prior to joining the study, prospective participants met with a speech-language pathologist who evaluated their eligibility. "We've heard from many participants who have said that the participation process was not only enjoyable, but that it gave them the confidence to communicate with their families again," Mendes said. "This project has brought hope, excitement and energy -; uniquely human qualities -; to many of our participants and their loved ones."
To gauge how well the speech algorithm listened and learned, the researchers divided the samples into three sets. The first set of 190 participants, or 151 recorded hours, trained the model. As its performance improved, the researchers confirmed that the model was learning in earnest by introducing it to a second, smaller set of recordings. When the model reached peak performance on the second set, the researchers challenged it with the test set.
Amyotrophic Lateral Sclerosis Cerebral Palsy Down Syndrome Dysarthria Hearing Language Parkinson's Disease Research Sclerosis Stroke Syndrome Technology
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