Forensic voice comparison – Human-supervised-automatic approach

Geoffrey Stewart Morrison; Philip Weber; Ewald Enzinger; Beltrán Labrador; Alicia Lozano-Díez; Daniel Ramos; Joaquín González-Rodríguez

doi:10.1016/B978-0-12-823677-2.00182-3

Forensic voice comparison – Human-supervised-automatic approach

Geoffrey Stewart Morrison^*
, Philip Weber
, Ewald Enzinger
, Beltrán Labrador
, Alicia Lozano-Díez
, Daniel Ramos
, Joaquín González-Rodríguez

^*Corresponding author for this work

Institute of Forensic Linguistics, Aston University, Birmingham, UK
Universidad Autónoma de Madrid
Eduworks, Corvallis, OR

Research output: Chapter in Book/Published conference output › Entry for encyclopedia/dictionary

7 Citations (Scopus)

Abstract

The human-supervised-automatic analytical approach to forensic voice comparison in conjunction with the likelihood-ratio interpretive framework is described. Practitioner tasks are described, including adoption of relevant hypotheses for the case, assessment of the conditions of the questioned-speaker and known-speaker recordings in the case, and selection of data representing the relevant population and reflecting the conditions for the case. Software tools are also described. An example is provided of a forensic-voice-comparison system based on state-of-the-art automatic-speaker-recognition technology. Also described are the calibration and validation of that system using a benchmark dataset reflecting the conditions of a real forensic case.

Original language	English
Title of host publication	Encyclopedia of Forensic Sciences
Editors	M Houck, H Eldridge, S Lewis, K Lothridge, P Reedy, L Wilson
Publisher	Elsevier
Chapter	00182
Pages	720-736
Number of pages	17
Volume	2
Edition	3
ISBN (Print)	9780128236772
DOIs	https://doi.org/10.1016/B978-0-12-823677-2.00182-3
Publication status	Published - 1 Nov 2022

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10.1016/B978-0-12-823677-2.00182-3

http://forensic-voice-comparison.net/encyclopedia/

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Morrison, G. S., Weber, P., Enzinger, E., Labrador, B., Lozano-Díez, A., Ramos, D., & González-Rodríguez, J. (2022). Forensic voice comparison – Human-supervised-automatic approach. In M. Houck, H. Eldridge, S. Lewis, K. Lothridge, P. Reedy, & L. Wilson (Eds.), Encyclopedia of Forensic Sciences (3 ed., Vol. 2, pp. 720-736). Elsevier. https://doi.org/10.1016/B978-0-12-823677-2.00182-3

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abstract = "The human-supervised-automatic analytical approach to forensic voice comparison in conjunction with the likelihood-ratio interpretive framework is described. Practitioner tasks are described, including adoption of relevant hypotheses for the case, assessment of the conditions of the questioned-speaker and known-speaker recordings in the case, and selection of data representing the relevant population and reflecting the conditions for the case. Software tools are also described. An example is provided of a forensic-voice-comparison system based on state-of-the-art automatic-speaker-recognition technology. Also described are the calibration and validation of that system using a benchmark dataset reflecting the conditions of a real forensic case.",

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Morrison, GS , Weber, P, Enzinger, E, Labrador, B, Lozano-Díez, A, Ramos, D & González-Rodríguez, J 2022, Forensic voice comparison – Human-supervised-automatic approach. in M Houck, H Eldridge, S Lewis, K Lothridge, P Reedy & L Wilson (eds), Encyclopedia of Forensic Sciences. 3 edn, vol. 2, Elsevier, pp. 720-736. https://doi.org/10.1016/B978-0-12-823677-2.00182-3

Forensic voice comparison – Human-supervised-automatic approach. / Morrison, Geoffrey Stewart ; Weber, Philip; Enzinger, Ewald et al.
Encyclopedia of Forensic Sciences. ed. / M Houck; H Eldridge; S Lewis; K Lothridge; P Reedy; L Wilson. Vol. 2 3. ed. Elsevier, 2022. p. 720-736.

Research output: Chapter in Book/Published conference output › Entry for encyclopedia/dictionary

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T1 - Forensic voice comparison – Human-supervised-automatic approach

AU - Morrison, Geoffrey Stewart

AU - Weber, Philip

AU - Enzinger, Ewald

AU - Labrador, Beltrán

AU - Lozano-Díez, Alicia

AU - Ramos, Daniel

AU - González-Rodríguez, Joaquín

PY - 2022/11/1

Y1 - 2022/11/1

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AB - The human-supervised-automatic analytical approach to forensic voice comparison in conjunction with the likelihood-ratio interpretive framework is described. Practitioner tasks are described, including adoption of relevant hypotheses for the case, assessment of the conditions of the questioned-speaker and known-speaker recordings in the case, and selection of data representing the relevant population and reflecting the conditions for the case. Software tools are also described. An example is provided of a forensic-voice-comparison system based on state-of-the-art automatic-speaker-recognition technology. Also described are the calibration and validation of that system using a benchmark dataset reflecting the conditions of a real forensic case.

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PB - Elsevier

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Forensic voice comparison – Human-supervised-automatic approach

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