Automatic Detection and Monitoring of Parkinson's Disease from Language and Speech

Explore the potential of speech and language technologies for detecting and monitoring Parkinson's disease in this 31-minute seminar talk by Anna Favaro, a Ph.D. student at Johns Hopkins University. Delve into Favaro's research on developing a unified framework for automatic detection and monitoring of Parkinson's disease using language and speech analysis. Learn about her background in philosophy of language, formal logic, and language and multimodal interaction, as well as her previous work on Italian Text to Speech Synthesis. Gain insights into the latest advancements in applying speech and language processing techniques to neurological disease detection, drawing from recent research published in Interspeech, Frontiers in Neurology, and MedRxiv. Discover how this innovative approach could potentially revolutionize early diagnosis and ongoing assessment of Parkinson's disease.