Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speech

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

3 Citations (Scopus)

Abstract

Speech is promising as an objective, convenient tool to monitor health remotely over time using mobile devices. Numerous paralinguistic features have been demonstrated to contain salient information related to an individual’s health. However, mobile device specification and acoustic environments vary widely, risking the reliability of the extracted features. In an initial step towards quantifying these effects, we report the variability of 13 exemplar paralinguistic features commonly reported in the speech-health literature and extracted from the speech of 42 healthy volunteers recorded consecutively in rooms with low and high reverberation with one budget and two higher-end smartphones, and a condenser microphone. Our results show reverberation has a clear effect on several features, in particular voice quality markers. They point to new research directions investigating how best to record and process in-the-wild speech for reliable longitudinal health state assessment.
Original languageEnglish
Title of host publicationISCA Archive
PublisherInternational Speech Communication Association
Pages2373-2377
Number of pages5
Volume2023-August
DOIs
Publication statusPublished - 15 Aug 2023
Event24th Annual Conference of the International Speech Communication Association - Convention Centre Dublin, Dublin, Ireland
Duration: 20 Aug 202324 Aug 2023
https://interspeech2023.org/

Conference

Conference24th Annual Conference of the International Speech Communication Association
Abbreviated title Interspeech 2023
Country/TerritoryIreland
CityDublin
Period20/08/202324/08/2023
Internet address

Keywords

  • measurement error
  • reproducibility
  • acoustic environment
  • paralinguistics
  • mobile health

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