Exploring telephone-quality speech signals towards parkinson's disease assessment in a large acoustically non-controlled study

Athanasios Tsanas, Siddharth Arora

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The use of high-quality speech signals has led to considerable breakthroughs in Parkinson's Disease (PD) in the last decade. These include accurate differentiation of PD versus Healthy Controls (HC) and monitoring longitudinal PD symptom severity. We recently concluded the Parkinson's Voice Initiative (PVI) study collecting data from a very large cohort under non-controlled acoustic conditions. We acoustically characterized 11,942 recordings from 6531 US-based participants using 307 dysphonia measures. We selected a robust subset of 30 dysphonia measures using Gram-Schmidt Orthogonalization (GSO). We projected the data onto a two-dimensional representation using t-distributed stochastic neighbor embedding to facilitate visual exploration, and used hierarchical clustering to understand data homogeneity. We demonstrate that there is considerable overlap in the projected feature space between PD and HC, making the binary classification task particularly challenging. The data was grouped into nine clusters using hierarchical clustering which was in broad agreement with the projected two-dimensional representation. These results provide some new insights into understanding the new challenges posed in the PVI project where acoustic recordings conditions were not controlled.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages953-956
Number of pages4
ISBN (Electronic)9781728146171
DOIs
Publication statusPublished - 23 Oct 2019
Event19th International Conference on Bioinformatics and Bioengineering, BIBE 2019 - Athens, Greece
Duration: 28 Oct 201930 Oct 2019

Publication series

NameProceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019

Conference

Conference19th International Conference on Bioinformatics and Bioengineering, BIBE 2019
CountryGreece
CityAthens
Period28/10/1930/10/19

Keywords

  • Data visualization
  • Dimensionality reduction
  • Parkinson's Disease (PD)
  • Sustained vowels

Fingerprint

Dive into the research topics of 'Exploring telephone-quality speech signals towards parkinson's disease assessment in a large acoustically non-controlled study'. Together they form a unique fingerprint.

Cite this