Publication detail

A Methodology to Differentiate Parkinson's Disease and Aging Speech Based on Glottal Flow Acoustic Analysis

GÓMEZ-RODELLAR, A. PALACIOS-ALONSO, D. FERRÁNDEZ VICENTE, J. MEKYSKA, J. ÁLVAREZ-MARQUINA, A. GÓMEZ-VILDA, P.

Original Title

A Methodology to Differentiate Parkinson's Disease and Aging Speech Based on Glottal Flow Acoustic Analysis

Type

journal article in Web of Science

Language

English

Original Abstract

Speech is controlled by axial neuromotor systems, therefore, it is highly sensitive to the effects of neurodegenerative illnesses such as Parkinson’s Disease (PD). Patients suffering from PD present important alterations in speech, which are manifested in phonation, articulation, prosody, and fluency. These alterations may be evaluated using statistical methods on features obtained from glottal, spectral, cepstral, or fractal descriptions of speech. This work introduces an evaluation paradigm based on Information Theory (IT) to differentiate the effects of PD and aging on glottal amplitude distributions. The study is conducted on a database including 48 PD patients (24 males, 24 females), 48 age-matched healthy controls (HC, 24 males, 24 females), and 48 mid-age normative subjects (NS, 24 males, 24 females). It may be concluded from the study that Hierarchical Clustering (HiCl) methods produce a clear separation between the phonation of PD patients from NS subjects (accuracy of 89.6% for both male and female subsets), but the separation between PD patients and HC subjects is less efficient (accuracy of 75.0% for the male subset and 70.8% for the female subset). Conversely, using feature selection and Support Vector Machine (SVM) classification, the differentiation between PD and HC is substantially improved (accuracy of 94.8% for the male subset and 92.8% for the female subset). This improvement was mainly boosted by feature selection, at a cost of information and generalization losses. The results point to the possibility that speech deterioration may affect HC phonation with aging, reducing its difference to PD phonation.

Keywords

Parkinson's disease; phonation distortion; aging speech; speech neuromechanics; Jensen-Shannon divergence; support vector machines

Authors

GÓMEZ-RODELLAR, A.; PALACIOS-ALONSO, D.; FERRÁNDEZ VICENTE, J.; MEKYSKA, J.; ÁLVAREZ-MARQUINA, A.; GÓMEZ-VILDA, P.

Released

3. 9. 2020

ISBN

0129-0657

Periodical

INTERNATIONAL JOURNAL OF NEURAL SYSTEMS

Year of study

2050058

Number

1

State

United States of America

Pages from

1

Pages to

20

Pages count

20

URL

https://www.worldscientific.com/doi/pdf/10.1142/S0129065720500586

BibTex

@article{BUT165065,
  author="GÓMEZ-RODELLAR, A. and PALACIOS-ALONSO, D. and FERRÁNDEZ VICENTE, J. and MEKYSKA, J. and ÁLVAREZ-MARQUINA, A. and GÓMEZ-VILDA, P.",
  title="A Methodology to Differentiate Parkinson's Disease and Aging Speech Based on Glottal Flow Acoustic Analysis",
  journal="INTERNATIONAL JOURNAL OF NEURAL SYSTEMS",
  year="2020",
  volume="2050058",
  number="1",
  pages="1--20",
  doi="10.1142/S0129065720500586",
  issn="0129-0657",
  url="https://www.worldscientific.com/doi/pdf/10.1142/S0129065720500586"
}