Literature DB >> 33985678

Consensus on validation of forensic voice comparison.

Geoffrey Stewart Morrison1, Ewald Enzinger2, Vincent Hughes3, Michael Jessen4, Didier Meuwly5, Cedric Neumann6, S Planting7, William C Thompson8, David van der Vloed5, Rolf J F Ypma9, Cuiling Zhang10, A Anonymous11, B Anonymous11.   

Abstract

Since the 1960s, there have been calls for forensic voice comparison to be empirically validated under casework conditions. Since around 2000, there have been an increasing number of researchers and practitioners who conduct forensic-voice-comparison research and casework within the likelihood-ratio framework. In recent years, this community of researchers and practitioners has made substantial progress toward validation under casework conditions becoming a standard part of practice: Procedures for conducting validation have been developed, along with graphics and metrics for representing the results, and an increasing number of papers are being published that include empirical validation of forensic-voice-comparison systems under conditions reflecting casework conditions. An outstanding question, however, is: In the context of a case, given the results of an empirical validation of a forensic-voice-comparison system, how can one decide whether the system is good enough for its output to be used in court? This paper provides a statement of consensus developed in response to this question. Contributors included individuals who had knowledge and experience of validating forensic-voice-comparison systems in research and/or casework contexts, and individuals who had actually presented validation results to courts. They also included individuals who could bring a legal perspective on these matters, and individuals with knowledge and experience of validation in forensic science more broadly. We provide recommendations on what practitioners should do when conducting evaluations and validations, and what they should present to the court. Although our focus is explicitly on forensic voice comparison, we hope that this contribution will be of interest to an audience concerned with validation in forensic science more broadly. Although not written specifically for a legal audience, we hope that this contribution will still be of interest to lawyers.
Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Admissibility; Forensic science; Forensic voice comparison; Guidance; Likelihood ratio; Validation

Mesh:

Year:  2021        PMID: 33985678     DOI: 10.1016/j.scijus.2021.02.002

Source DB:  PubMed          Journal:  Sci Justice        ISSN: 1355-0306            Impact factor:   2.124


  7 in total

1.  The opacity myth: A response to Swofford & Champod (2022).

Authors:  Geoffrey Stewart Morrison; Nabanita Basu; Ewald Enzinger; Philip Weber
Journal:  Forensic Sci Int Synerg       Date:  2022-06-19

2.  A strawman with machine learning for a brain: A response to Biedermann (2022) the strange persistence of (source) "identification" claims in forensic literature.

Authors:  Geoffrey Stewart Morrison; Daniel Ramos; Rolf Jf Ypma; Nabanita Basu; Kim de Bie; Ewald Enzinger; Zeno Geradts; Didier Meuwly; David van der Vloed; Peter Vergeer; Philip Weber
Journal:  Forensic Sci Int Synerg       Date:  2022-05-06

3.  Forensic comparison of fired cartridge cases: Feature-extraction methods for feature-based calculation of likelihood ratios.

Authors:  Nabanita Basu; Rachel S Bolton-King; Geoffrey Stewart Morrison
Journal:  Forensic Sci Int Synerg       Date:  2022-05-27

Review 4.  Advancing a paradigm shift in evaluation of forensic evidence: The rise of forensic data science.

Authors:  Geoffrey Stewart Morrison
Journal:  Forensic Sci Int Synerg       Date:  2022-05-18

5.  Validations of an alpha version of the E3 Forensic Speech Science System (E3FS3) core software tools.

Authors:  Philip Weber; Ewald Enzinger; Beltrán Labrador; Alicia Lozano-Díez; Daniel Ramos; Joaquín González-Rodríguez; Geoffrey Stewart Morrison
Journal:  Forensic Sci Int Synerg       Date:  2022-03-07

6.  The strange persistence of (source) "identification" claims in forensic literature through descriptivism, diagnosticism and machinism.

Authors:  Alex Biedermann
Journal:  Forensic Sci Int Synerg       Date:  2022-03-02

7.  In the context of forensic casework, are there meaningful metrics of the degree of calibration?

Authors:  Geoffrey Stewart Morrison
Journal:  Forensic Sci Int Synerg       Date:  2021-06-12
  7 in total

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