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[HTML][HTML] Advancing a paradigm shift in evaluation of forensic evidence: The rise of forensic data science
GS Morrison - Forensic Science International: Synergy, 2022 - Elsevier
Widespread practice across the majority of branches of forensic science uses analytical
methods based on human perception, and interpretive methods based on subjective …
methods based on human perception, and interpretive methods based on subjective …
[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 …
make a decision that they would not be able to make unaided. The present paper addresses …
[HTML][HTML] Forensic comparison of fired cartridge cases: feature-extraction methods for feature-based calculation of likelihood ratios
N Basu, RS Bolton-King, GS Morrison - Forensic science international …, 2022 - Elsevier
We describe and validate a feature-based system for calculation of likelihood ratios from 3D
digital images of fired cartridge cases. The system includes a database of 3D digital images …
digital images of fired cartridge cases. The system includes a database of 3D digital images …
[HTML][HTML] Speaker identification in courtroom contexts–Part II: Investigation of bias in individual listeners' responses
N Basu, P Weber, AS Bali, C Rosas-Aguilar… - Forensic Science …, 2023 - Elsevier
In “Speaker identification in courtroom contexts–Part I” individual listeners made speaker-
identification judgements on pairs of recordings which reflected the conditions of the …
identification judgements on pairs of recordings which reflected the conditions of the …
[HTML][HTML] Speaker identification in courtroom contexts–Part III: Groups of collaborating listeners compared to forensic voice comparison based on automatic-speaker …
AS Bali, N Basu, P Weber, C Rosas-Aguilar… - Forensic Science …, 2024 - Elsevier
Expert testimony is only admissible in common-law systems if it will potentially assist the trier
of fact. In order for a forensic-voice-comparison expert's testimony to assist a trier of fact, the …
of fact. In order for a forensic-voice-comparison expert's testimony to assist a trier of fact, the …
[PDF][PDF] Bi-Gaussianized calibration of likelihood ratios
GS Morrison - Law, Probability and Risk, 2024 - academic.oup.com
For a perfectly calibrated forensic evaluation system, the likelihood ratio of the likelihood
ratio is the likelihood ratio. Conversion of uncalibrated log-likelihood ratios (scores) to …
ratio is the likelihood ratio. Conversion of uncalibrated log-likelihood ratios (scores) to …
Effect of identical twins on deep speaker embeddings based forensic voice comparison
Deep learning has gained widespread adoption in forensic voice comparison in recent
years. It is mainly used to learn speaker representations, known as embedding features or …
years. It is mainly used to learn speaker representations, known as embedding features or …
Likelihood Ratio Based Voice Comparison Using Cepstral Coefficients and GAN
SG Kruthika, TC Nagavi, P Mahesha - Procedia Computer Science, 2024 - Elsevier
In order to identify suspects in digital forensics, Forensic Voice Comparison (FVC) entails
comparing trace voices with known suspect voice samples. The FVC uses semi-automatic …
comparing trace voices with known suspect voice samples. The FVC uses semi-automatic …
Likelihood Ratio Based Voice Comparison Using Cepstral Coefficients and GAN
K SG, TC Nagavi, P Mahesha - 2024 - dl.acm.org
In order to identify suspects in digital forensics, Forensic Voice Comparison (FVC) entails
comparing trace voices with known suspect voice samples. The FVC uses semi-automatic …
comparing trace voices with known suspect voice samples. The FVC uses semi-automatic …