Performance of Articulation Kinetic Distributions Vs MFCCs in Parkinson’s Detection from Vowel Utterances-Reference-Cited by-同舟云学术

Performance of Articulation Kinetic Distributions Vs MFCCs in Parkinson’s Detection from Vowel Utterances

Published:2019-09-19 Issue: Volume: Page:431-441
ISSN:2190-3018
Container-title:Neural Approaches to Dynamics of Signal Exchanges
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Author:

Gómez-Rodellar Andrés^ORCID,Álvarez-Marquina Agustín^ORCID,Mekyska Jiri^ORCID,Palacios-Alonso Daniel^ORCID,Meghraoui Djamila^ORCID,Gómez-Vilda Pedro^ORCID

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-8950-4_38

Reference18 articles.

1. Morris, M.E.: Movement disorders in people with Parkinson disease: a model for physical therapy. Phys. Ther. 80(6), 578–597 (2000)

2. Sapir, S.: Multiple factors are involved in the dysarthria associated with Parkinson’s disease: a review with implications for clinical practice and research. J. Speech Lang. Hear. Res. 57, 1330–1343 (2014)

3. Skodda, S., Grönheit, W., Mancinelli, N., Schlegel, U.: Progression of voice and speech impairment in the course of Parkinson’s disease: a longitudinal study. Parkinson’s Dis. Article ID 389195 (2013)

4. Sapir, S., Ramig, L.O., Spielman, J.L., Fox, C.: Formant centralization ratio: a proposal for a new acoustic measure of dysarthric speech. J. Speech Lang. Hear. Res. 53(1), 114–125 (2010)

5. Hinton, G., Deng, L., Yu, D., Dahl, G.E., Mohamed, A., Jaitly, N., Senior, A., Vanhoucke, V., Nguyen, V., Sainath, T.N., Kingsbury, B.: Deep neural networks for acoustic modeling in speech recognition. IEEE Sig. Proc. Mag. 29, 82–97 (2012)

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