Empirical Mode Decomposition articulation feature extraction on Parkinson’s Diadochokinesia

Author:

Rueda AliceORCID,Vásquez-Correa Juan CamiloORCID,Orozco-Arroyave Juan RafaelORCID,Nöth ElmarORCID,Krishnan SridharORCID

Funder

Universidad de Antioquia

Horizon 2020 Framework Programme

Horizon 2020

Horizon 2020 Marie Skłodowska-Curie Actions

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference51 articles.

1. Acoustic characteristics of VOT in plosive consonants produced by Parkinson’s patients;Argüello-Vélez,2020

2. Parkinson’s disease and aging: analysis of their effect in phonation and articulation of speech;Arias-Vergara;Cogn. Comput.,2017

3. Automatic detection of Voice Onset Time in voiceless plosives using gated recurrent units;Arias-Vergara;Digit. Signal Process.,2020

4. Motor Speech Disorders;Darley,1975

5. Motor Speech Disorders: Substrates, Differential Diagnosis, and Management;Duffy,2012

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