logo
ResearchBunny Logo
Automatic speech-based assessment to discriminate Parkinson's disease from essential tremor with a cross-language approach

Medicine and Health

Automatic speech-based assessment to discriminate Parkinson's disease from essential tremor with a cross-language approach

C. D. Rios-urrego, J. Rusz, et al.

In a groundbreaking study, Cristian David Rios-Urrego, Jan Rusz, and Juan Rafael Orozco-Arroyave explore the potential of automatic speech analysis to distinguish between Parkinson's disease and essential tremor. Their innovative approach achieves impressive accuracy rates, shedding light on how speech patterns can serve as vital indicators for these challenging neurodegenerative disorders.

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny