A statistical procedure to adjust for time-interval mismatch in forensic voice comparison

Abstract

The present paper describes a statistical modeling procedure that was developed to account for the fact that, in a forensic voice comparison analysis conducted for a particular case, there was a long time interval between when the questioned- and known-speaker recordings were made (six years), but in the sample of the relevant population used for training and testing the forensic voice comparison system there was a short interval (hours to days) between when each of multiple recordings of each speaker was made. The present paper also includes results of empirical validation of the procedure. Although based on a particular case, the procedure has potential for wider application given that relatively long time intervals between the recording of questioned and known speakers are not uncommon in casework.

Publication DOI: https://doi.org/10.1016/j.specom.2019.07.001
Divisions: College of Engineering & Physical Sciences
College of Business and Social Sciences > Aston Institute for Forensic Linguistics
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College of Business and Social Sciences > School of Social Sciences & Humanities
Additional Information: ©2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license.(http://creativecommons.org/licenses/by/4.0/)
Uncontrolled Keywords: Forensic voice comparison,Likelihood ratio,Mismatch,Time interval,Software,Modelling and Simulation,Communication,Language and Linguistics,Linguistics and Language,Computer Vision and Pattern Recognition,Computer Science Applications
Publication ISSN: 0167-6393
Last Modified: 18 Jul 2024 07:07
Date Deposited: 25 Jun 2019 15:26
Full Text Link:
Related URLs: https://www.sci ... sd_search_email (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2019-09-01
Published Online Date: 2019-07-02
Accepted Date: 2019-06-22
Authors: Morrison, Geoffrey Stewart (ORCID Profile 0000-0001-8608-8207)
Kelly, F.

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