A speaker-independent speech classifier using Wav2Vec2 features reaches 88.2% F1 for Parkinson's medication state detection, with prosody-rich continuous speech tasks such as PROS-SENT most informative.
Intonation an d Speech Rate in Parkinson’s Disease: General and Dynamic Aspects and Responsiveness to Levodopa Admission,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.AS 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
On the Relevance of Clinical Assessment Tasks for the Automatic Detection of Parkinson's Disease Medication State from Speech
A speaker-independent speech classifier using Wav2Vec2 features reaches 88.2% F1 for Parkinson's medication state detection, with prosody-rich continuous speech tasks such as PROS-SENT most informative.