Dineley, J;
Carr, E;
Matcham, F;
Downs, J;
Dobson, R;
Quatieri, TF;
Cummins, N;
(2023)
Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speech.
In:
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH.
(pp. pp. 2373-2377).
ISCA
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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.
| Type: | Proceedings paper |
|---|---|
| Title: | Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speech |
| Event: | INTERSPEECH 2023 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.21437/Interspeech.2023-947 |
| Publisher version: | http://doi.org/10.21437/Interspeech.2023-947 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Measurement error, reproducibility, acoustic environment, paralinguistics, mobile health |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10181921 |
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