Parallel Representation Learning for the Classification of Pathological Speech: Studies on Parkinson’s Disease and Cleft Lip and Palate-Reference-Cited by-同舟云学术

Parallel Representation Learning for the Classification of Pathological Speech: Studies on Parkinson’s Disease and Cleft Lip and Palate

Published:2020-09 Issue: Volume:122 Page:56-67
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Vasquez-Correa J.C.,Arias-Vergara T.,Schuster M.,Orozco-Arroyave J.R.,Nöth E.

Funder

European Union’s Horizon 2020 research and innovation programme

Marie Sklodowska-Curie

COLCIENCIAS

University of Antioquia

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modelling and Simulation,Software

Reference63 articles.

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4. Classifying parkinson’s disease based on acoustic measures using artificial neural networks;Berus;Sensors,2019

5. Speech rate deficits in individuals with parkinson’s disease: a review of the literature;Blanchet;Journal of Medical Speech-Language Pathology,2009

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