Automatic Detection of Parkinson’s Disease: An Experimental Analysis of Common Speech Production Tasks Used for Diagnosis-Reference-Cited by-同舟云学术

Automatic Detection of Parkinson’s Disease: An Experimental Analysis of Common Speech Production Tasks Used for Diagnosis

Published:2017 Issue: Volume: Page:411-419
ISSN:0302-9743
Container-title:Text, Speech, and Dialogue
language:
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Author:

Pompili Anna^ORCID,Abad Alberto^ORCID,Romano Paolo^ORCID,Martins Isabel P.^ORCID,Cardoso Rita^ORCID,Santos Helena,Carvalho Joana,Guimarães Isabel^ORCID,Ferreira Joaquim J.^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-64206-2_46

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3. Bocklet, T., Steidl, S., Nöth, E., Skodda, S.: Automatic evaluation of Parkinson’s speech-acoustic, prosodic and voice related cues. In: Interspeech, pp. 1149–1153 (2013)

4. Orozco-Arroyave, J.R., Hönig, F., Arias-Londoño, J.D., Vargas-Bonilla, J.F., Skodda, S., Rusz, J., Nöth, E.: Voiced/unvoiced transitions in speech as a potential bio-marker to detect Parkinson’s disease. In: Interspeech, pp. 95–99 (2015)

5. Lecture Notes in Computer Science;JR Orozco-Arroyave,2014

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