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 …

[HTML][HTML] An overview of log likelihood ratio cost in forensic science–Where is it used and what values can we expect?

S van Lierop, D Ramos, M Sjerps, R Ypma - Forensic science international …, 2024 - Elsevier
There is increasing support for reporting evidential strength as a likelihood ratio (LR) and
increasing interest in (semi-) automated LR systems. The log-likelihood ratio cost (C llr) is a …

[HTML][HTML] Validations of an alpha version of the E3 Forensic Speech Science System (E3FS3) core software tools

P Weber, E Enzinger, B Labrador… - Forensic Science …, 2022 - Elsevier
This paper reports on validations of an alpha version of the E 3 Forensic Speech Science
System (E 3 FS 3) core software tools. This is an open-code human-supervised-automatic …

[HTML][HTML] Speaker identification in courtroom contexts–Part I: Individual listeners compared to forensic voice comparison based on automatic-speaker-recognition …

N Basu, AS Bali, P Weber, C Rosas-Aguilar… - Forensic science …, 2022 - Elsevier
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 …

Automated ambient recognition method based on dynamic center mirror local binary pattern: DCMLBP

T Tuncer, E Aydemir, S Dogan - Applied Acoustics, 2020 - Elsevier
Voice recognition and sound classification is a hot-topic research area in the literature and
many methods have been presented. Ambient recognition is very important problem by …

An efficient speaker identification framework based on Mask R-CNN classifier parameter optimized using hosted cuckoo optimization (HCO)

Gaurav, S Bhardwaj, R Agarwal - Journal of Ambient Intelligence and …, 2023 - Springer
Speaker identification is the method of human voice identifying with the help of artificial
intelligence (AI) method. The technology of speaker identification is broadly utilized in voice …

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

GS Morrison, E Enzinger - Speech Communication, 2019 - Elsevier
This conclusion to the virtual special issue (VSI)“Multi-laboratory evaluation of forensic voice
comparison systems under conditions reflecting those of a real forensic case …

Sub-band cepstral distance as an alternative to formants: Quantitative evidence from a forensic comparison experiment

Y Kinoshita, T Osanai, F Clermont - Journal of Phonetics, 2022 - Elsevier
This paper demonstrates the potential of the sub-band parametric cepstral distance (PCD)
formulated by Clermont and Mokhtari (1994), as an alternative to formants in acoustic …

[HTML][HTML] In the context of forensic casework, are there meaningful metrics of the degree of calibration?

GS Morrison - Forensic Science International: Synergy, 2021 - Elsevier
Forensic-evaluation systems should output likelihood-ratio values that are well calibrated. If
they do not, their output will be misleading. Unless a forensic-evaluation system is …

Balancing validity and reliability as a function of sampling variability in forensic voice comparison

BX Wang, V Hughes - Science & Justice, 2024 - Elsevier
In forensic comparison sciences, experts are required to compare samples of known and
unknown origin to evaluate the strength of the evidence assuming they came from the same …