Speaker identification in courtroom contexts - Part I: Individual listeners compared to forensic voice comparison based on automatic-speaker-recognition technology


Expert testimony is only admissible in common law if it will potentially assist the trier of fact to make a decision that they would not be able to make unaided. The present paper addresses the question of whether speaker identification by an individual lay listener (such as a judge) would be more or less accurate than the output of a forensic-voice-comparison system that is based on state-of-the-art automatic-speaker-recognition technology. Listeners listen to and make probabilistic judgements on pairs of recordings reflecting the conditions of the questioned- and known-speaker recordings in an actual case. Reflecting different courtroom contexts, listeners with different language backgrounds are tested: Some are familiar with the language and accent spoken, some are familiar with the language but less familiar with the accent, and others are less familiar with the language. Also reflecting different courtroom contexts: In one condition listeners make judgements based only on listening, and in another condition listeners make judgements based on both listening to the recordings and considering the likelihood-ratio values output by the forensic-voice-comparison system.

Publication DOI: https://doi.org/10.1016/j.forsciint.2022.111499
Divisions: College of Engineering & Physical Sciences
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College of Business and Social Sciences > Aston Institute for Forensic Linguistics
Additional Information: © 2022 The Author(s). 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: x-vector,Forensic voice comparison,Likelihood ratio,Validation,Admissibility,Speaker identification
Publication ISSN: 1872-6283
Last Modified: 29 May 2024 07:23
Date Deposited: 08 Nov 2022 10:15
Full Text Link:
Related URLs: https://www.sci ... 3292?via%3Dihub (Publisher URL)
PURE Output Type: Article
Published Date: 2022-12
Published Online Date: 2022-10-15
Accepted Date: 2022-10-12
Submitted Date: 2022-08-04
Authors: Basu, Nabanita
Bali, Agnes S
Weber, Philip (ORCID Profile 0000-0002-3121-9625)
Rosas-Aguilar, Claudia
Edmond, Gary
Martire, Kristy A
Morrison, Geoffrey Stewart (ORCID Profile 0000-0001-8608-8207)



Version: Published Version

License: Creative Commons Attribution

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