Phonological posteriors and GRU recurrent units to assess speech impairments of patients with Parkinson’s disease

Article in Edited Volumes
(Original article)


Publication Details

Author(s): Vasquez Correa J, Garcia N, Orozco-Arroyave JR, Cernak M, Nöth E
Editor(s): Prof. Dr. Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala
Title edited volumes: Text, Speech, and Dialogue
Publisher: Springer Interational
Publication year: 2018
Title of series: Lecture Notes in Computer Science
Volume: 11107
Pages range: 453-461
ISBN: 978-3-030-00794-2
Language: English


Abstract

Parkinson’s disease is a neurodegenerative disorder characterized by a
variety of motor symptoms, including several impairments in the speech
production process. Recent studies show that deep learning models are
highly accurate to assess the speech deficits of the patients; however
most of the architectures consider static features computed from a
complete utterance. Such an approach is not suitable to model the
dynamics of the speech signal when the patients pronounce different
sounds. Phonological features can be used to characterize the voice
quality of the speech, which is highly impaired in patients suffering
from Parkinson’s disease. This study proposes a deep architecture based
on recurrent neural networks with gated recurrent units combined with
phonological posteriors to assess the speech deficits of Parkinson’s
patients. The aim is to model the time-dependence of consecutive
phonological posteriors, which follow the sound patterns of English
phonological model. The results show that the proposed approach is more
accurate than a baseline based on standard acoustic features to assess
the speech deficits of the patients.


FAU Authors / FAU Editors

Nöth, Elmar Prof. Dr.-Ing.
Professur für Informatik (Mustererkennung)
Vasquez Correa, Juan
Professur für Informatik (Mustererkennung)


External institutions with authors

idiap Research Institute
Universidad de Antioquía (UDEA)


How to cite

APA:
Vasquez Correa, J., Garcia, N., Orozco-Arroyave, J.R., Cernak, M., & Nöth, E. (2018). Phonological posteriors and GRU recurrent units to assess speech impairments of patients with Parkinson’s disease. In Prof. Dr. Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala (Eds.), Text, Speech, and Dialogue. (pp. 453-461). Springer Interational.

MLA:
Vasquez Correa, Juan, et al. "Phonological posteriors and GRU recurrent units to assess speech impairments of patients with Parkinson’s disease." Text, Speech, and Dialogue. Ed. Prof. Dr. Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala, Springer Interational, 2018. 453-461.

BibTeX: 

Last updated on 2019-01-01 at 13:10