Acoustic analysis toolkit for biomedical speech signal processing: Concepts and algorithms

Athanasios Tsanas*

*Corresponding author for this work

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

Abstract

Epidemiological studies suggest that lifetime prevalence of voice disorders is about 30% for the general adult population. Moreover, vocal performance degradation may be amongst the earliest indicators of a neurodegenerative disease onset, such as Parkinson's disease. Lacking alternative cost-effective biomarkers, biomedical speech signal processing has been gaining increasing impetus towards developing clinical decision support tools. Acoustic analysis of speech signals provides a convenient, automatic, accurate, robust, inexpensive, scalable approach assisting medical diagnosis and symptom severity monitoring. Nevertheless, the algorithmic tools developed for biomedical speech signal processing are spread across different software platforms, hindering direct algorithmic comparisons and the further development of this impending field. This study brings many biomedical speech signal processing algorithms together under the same software platform, and has led to the development of a practical free toolkit which can be accessed over the Internet using a simple application.

Original languageEnglish
Title of host publicationProceedings and Report - 8th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2013
EditorsClaudia Manfredi
PublisherFirenze University Press
Pages37-40
Number of pages4
ISBN (Electronic)9788866554691
Publication statusPublished - 16 Dec 2013
Event8th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2013 - Firenze, Italy
Duration: 16 Dec 201318 Dec 2013

Publication series

NameProceedings and Report - 8th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2013

Conference

Conference8th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2013
Country/TerritoryItaly
CityFirenze
Period16/12/1318/12/13

Keywords

  • Acoustic analysis
  • Decision support tool
  • Speech signal processing
  • Sustained vowels

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