Do Phonatory Features Display Robustness to Characterize Parkinsonian Speech Across Corpora?

Anna Favaro, Tianyu Cao, Thomas Thebaud, Jesús Villalba, Ankur Butala, Najim Dehak, Laureano Moro-Velázquez

Research output: Contribution to journalConference articlepeer-review

Abstract

Sustained vowels have been largely used to quantify vocal impairment in Parkinson's disease (PD), with most studies focusing on a single corpus. Presumably, features obtained from sustained vowels are language-independent, but how findings generalize across cohorts is unclear. This work analyzes 61 phonatory features from 5 corpora in American English, Italian, Castilian Spanish, Colombian Spanish, and German, respectively, by conducting a statistical and correlation analysis. We use robustness as a criterion in which a feature displays the same behavior across corpora. The statistical analysis showed that the features provided good separability between PD and controls in only two out of five corpora, and none of the features displayed robustness. However, experiments report significant correlations between feature values and clinical scores. These findings provide valuable insights into the acoustic corpora-based dissimilarities, which should be considered when generalizing findings.

Original languageEnglish (US)
Pages (from-to)2388-2392
Number of pages5
JournalProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Volume2023-August
DOIs
StatePublished - 2023
Event24th International Speech Communication Association, Interspeech 2023 - Dublin, Ireland
Duration: Aug 20 2023Aug 24 2023

Keywords

  • Correlation Analysis
  • Parkinson's Disease
  • Robustness
  • Statistical analysis
  • Sustained vowels

ASJC Scopus subject areas

  • Language and Linguistics
  • Human-Computer Interaction
  • Signal Processing
  • Software
  • Modeling and Simulation

Fingerprint

Dive into the research topics of 'Do Phonatory Features Display Robustness to Characterize Parkinsonian Speech Across Corpora?'. Together they form a unique fingerprint.

Cite this