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Quantification of the Voicescape: A Person-centric Approach to Describing Real-life Behaviour Patterns - A Case Study Comparing Two Age Groups


Londral, Ana; Demiray, Burcu; Cheetham, Marcus (2018). Quantification of the Voicescape: A Person-centric Approach to Describing Real-life Behaviour Patterns - A Case Study Comparing Two Age Groups. In: 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), Funchal, Madeira, Portugal, 19 January 2018 - 21 January 2018, 311-314.

Abstract

The human voice is a fundamental part of the everyday auditory environment. A measure of all voice activity that a person produces or perceives in the environment, i.e., the person’s voicescape, might provide an informative, low cost, ecologically valid, and person-centric approach to characterizing patterns of socially-relevant behaviour in real life. In this paper, we use the measure ratio of voice activity (rva) and present results of data acquired from N=20 subjects of 2 different age groups as they engaged in their usual daily life activities over 4 consecutive days. The data show no differences in total voice activity but significant between-group differences in its daily distribution. We propose that measurement of the voicescape can, even without knowledge of specific voice sources, serve as a useful indicator of person- or group specific activity patterns for purposes of describing significant aspects of variation and within- and between-group differences in patterns of everyday behaviour and, potentially, for identifying change in patterns that have health-related implications. Future work will target automatic detection and identification of voice sources and the use of privacy-preserving processing methods.

Abstract

The human voice is a fundamental part of the everyday auditory environment. A measure of all voice activity that a person produces or perceives in the environment, i.e., the person’s voicescape, might provide an informative, low cost, ecologically valid, and person-centric approach to characterizing patterns of socially-relevant behaviour in real life. In this paper, we use the measure ratio of voice activity (rva) and present results of data acquired from N=20 subjects of 2 different age groups as they engaged in their usual daily life activities over 4 consecutive days. The data show no differences in total voice activity but significant between-group differences in its daily distribution. We propose that measurement of the voicescape can, even without knowledge of specific voice sources, serve as a useful indicator of person- or group specific activity patterns for purposes of describing significant aspects of variation and within- and between-group differences in patterns of everyday behaviour and, potentially, for identifying change in patterns that have health-related implications. Future work will target automatic detection and identification of voice sources and the use of privacy-preserving processing methods.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic and Policlinic for Internal Medicine
06 Faculty of Arts > Center for Gerontology
08 Research Priority Programs > Dynamics of Healthy Aging
Dewey Decimal Classification:610 Medicine & health
Language:English
Event End Date:21 January 2018
Deposited On:19 Jul 2018 09:44
Last Modified:30 Dec 2018 08:07
Publisher:s.n.
Number:4
OA Status:Green
Related URLs:http://www.biostec.org/ (Organisation)

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