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Variability of speech timing features across repeated recordings: a comparison of open-source extraction techniques

Dineley, Judith; Carr, Ewan; White, Lauren L; Lucas, Catriona; Rahman, Zahia; Pan, Tian; Matcham, Faith; ... Cummins, Nicholas; + view all (2024) Variability of speech timing features across repeated recordings: a comparison of open-source extraction techniques. In: Interspeech 2024. (pp. pp. 2015-2019). ISCA: Kos, Greece. Green open access

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Abstract

Variations in speech timing features have been reliably linked to symptoms of various health conditions, demonstrating clinical potential. However, replication challenges hinder their translation; extracted speech features are susceptible to methodological variations in the recording and processing pipeline. Investigating this, we compared exemplar timing features extracted via three different techniques from recordings of healthy speech. Our results show that features extracted via an intensity-based method differ from those produced by forced alignment. Different extraction methods also led to differing estimates of within-speaker feature variability over time in an analysis of recordings repeated systematically over three sessions in one day (n=26) and in one week (n=28). Our findings highlight the importance of feature extraction in study design and interpretation, and the need for consistent, accurate extraction techniques for clinical research.

Type: Proceedings paper
Title: Variability of speech timing features across repeated recordings: a comparison of open-source extraction techniques
Event: Interspeech 2024
Open access status: An open access version is available from UCL Discovery
DOI: 10.21437/interspeech.2024-1074
Publisher version: http://dx.doi.org/10.21437/interspeech.2024-1074
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.
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/10197867
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