Extracting cues from speech for predicting severity of Parkinson's disease

Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010

Volumn , Issue , 2010, Pages 462-467

  Asgari, Meysam ^a   Shafran, Izhak ^a  

^a OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLINICAL MEASURE; COMPUTATIONAL APPROACH; DYSARTHRIA; MEAN ABSOLUTE ERROR; PARKINSON'S DISEASE; REAL-WORLD APPLICATION; STANDARD DEVIATION; TELE-MONITORING; VOCAL FOLDS; VOICE QUALITY;

FORECASTING; LEARNING SYSTEMS; SIGNAL PROCESSING;

DISEASES;

EID: 78449290172     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2010.5589118     Document Type: Conference Paper

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