Corpus ID: 10167893

Automatic detection of parkinson's disease from words uttered in three different languages

@inproceedings{OrozcoArroyave2014AutomaticDO,
  title={Automatic detection of parkinson's disease from words uttered in three different languages},
  author={J. R. Orozco-Arroyave and F. H{\"o}nig and J. D. Arias-Londo{\~n}o and J. F. Vargas-Bonilla and S. Skodda and J. Rusz and E. N{\"o}th},
  booktitle={INTERSPEECH},
  year={2014}
}
  • J. R. Orozco-Arroyave, F. Hönig, +4 authors E. Nöth
  • Published in INTERSPEECH 2014
  • Computer Science
  • About 90% of the people with Parkinson’s disease (PD) develop speech impairments such as monopitch, monoloudness, imprecise articulation, and other symptoms. [...] Key Result According to the results it is possible to classify between speech of people with PD and healthy controls (HC) with accuracies ranging from 84% to 99%, depending on the utterance.Expand Abstract

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