Consensus on validation of forensic voice comparison

GS Morrison, E Enzinger, V Hughes, M Jessen… - Science & Justice, 2021 - Elsevier
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 …

Automated face recognition in forensic science: Review and perspectives

M Jacquet, C Champod - Forensic science international, 2020 - Elsevier
With recent technological innovations, the multiplication of captured images of criminal
events has brought the comparison of faces to the forefront of the judicial scene. Forensic …

[图书][B] The Routledge handbook of forensic linguistics

M Coulthard, A Johnson - 2010 - api.taylorfrancis.com
The Handbook is a unique work of reference to the leading ideas, debates, topics,
approaches and methodologies in forensic linguistics and language and the law. It …

Likelihood ratio estimation for authorship text evidence: An empirical comparison of score-and feature-based methods

S Ishihara, M Carne - Forensic Science International, 2022 - Elsevier
This study compares score-and feature-based methods for estimating forensic likelihood
ratios for text evidence. Three feature-based methods built on different Poisson-based …

Score-based likelihood ratios for linguistic text evidence with a bag-of-words model

S Ishihara - Forensic Science International, 2021 - Elsevier
The likelihood ratio paradigm for quantifying the strength of evidence has been researched
in many fields of forensic science. Within this paradigm, score-based approaches for …

Deep neural network based forensic automatic speaker recognition in VOCALISE using x-vectors

F Kelly, O Forth, S Kent, L Gerlach… - Audio Engineering Society …, 2019 - aes.org
In this article we present a Deep Neural Network (DNN)-based version of the VOCALISE
(Voice Comparison and Analysis of the Likelihood of Speech Evidence) forensic automatic …

The privacy ZEBRA: Zero evidence biometric recognition assessment

A Nautsch, J Patino, N Tomashenko… - arXiv preprint arXiv …, 2020 - arxiv.org
Mounting privacy legislation calls for the preservation of privacy in speech technology,
though solutions are gravely lacking. While evaluation campaigns are long-proven tools to …

Multi-laboratory evaluation of forensic voice comparison systems under conditions reflecting those of a real forensic case (forensic_eval_01)–Introduction

GS Morrison, E Enzinger - speech communication, 2016 - Elsevier
There is increasing pressure on forensic laboratories to validate the performance of forensic
analysis systems before they are used to assess strength of evidence for presentation in …

Statistical models in forensic voice comparison

SM Geoffrey, E Ewald, D Ramos… - Handbook of forensic …, 2020 - taylorfrancis.com
The purpose of forensic voice comparison is to assist a court of law in deciding whether the
voices on two (or more) recordings were produced by the same speaker or by different …

[HTML][HTML] Towards facial recognition using likelihood ratio approach to facial landmark indices from images

R Verma, N Bhardwaj, A Bhavsar, K Krishan - Forensic Science …, 2022 - Elsevier
We propose a novel approach aimed at facial comparison in forensic context. We employed
an automatic approach to detect facial landmarks, and then selected independent facial …