Lennon, R, Plug, L and Gold, E (2019) A comparison of multiple speech tempo measures: Inter-correlations and discriminating power. In: Calhoun, S, Escudero, P, Tabain, M and Warren, P, (eds.) Proceedings of the 19th International Congress of Phonetic Sciences. 19th International Congress of Phonetic Sciences (ICPhS 2019), 05-09 Aug 2019, Melbourne, Australia. Australasian Speech Science and Technology Association Inc. , pp. 785-789. ISBN 978-0-646-80069-1
Abstract
Studies that quantify speech tempo on acoustic grounds typically use one of various rate measures. Explicit comparisons of the distributions generated by these measures are rare, although they help assess the robustness of generalisations across studies; moreover, for forensic purposes it is valuable to compare measures in terms of their discriminating power. We compare five common rate measures ― canonical and surface syllable and phone rates, and CV segment rate ― calculated over fluent stretches of spontaneous speech produced by 30 English speakers. We report deletion rates and correlations between the five measures and assess discriminating powers using likelihood ratios. Results suggest that in a sizeable English corpus with normal deletion rates, these five rates are closely inter-correlated and have similar discriminating powers; therefore, for common analytical purposes the choice between these measures is unlikely to substantially affect outcomes.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Keywords: | phonetics; forensic speaker comparison; speech tempo; correlations; likelihood ratios |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Languages Cultures & Societies (Leeds) > Linguistics & Phonetics (Leeds) |
Funding Information: | Funder Grant number Leverhulme Trust RPG-2017-060 |
Depositing User: | Symplectic Publications |
Date Deposited: | 16 Aug 2019 14:07 |
Last Modified: | 16 Aug 2019 14:07 |
Published Version: | https://assta.org/proceedings/ICPhS2019/ |
Status: | Published |
Publisher: | Australasian Speech Science and Technology Association Inc. |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:149781 |