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] 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 …

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 …

[PDF][PDF] Assessing the effects of accent-mismatched reference population databases on the performance of an automatic speaker recognition system

D Watt, P Harrison, V Hughes… - … Journal of Speech …, 2020 - eprints.whiterose.ac.uk
Abstract Automatic Speaker Recognition (ASR) systems are designed to provide the user
with statistics relating to the similarity of two or more speech samples and to the typicality of …

A comparative study on effect of temporal phase for speaker verification

D Nongrum, F Pyrtuh - … of International Conference on Frontiers in …, 2022 - Springer
In this paper, the temporal phase influence on speech signal is demonstrated through
different experimental models, notably for speaker verification. Feature extraction is a …

Forensic Voice Comparison Approaches for Low‐Resource Languages

SG Kruthika, TC Nagavi… - … Speech Recognition and …, 2024 - Wiley Online Library
In an ever‐evolving technological landscape, there are lot of security attacks and frauds that
are carried out online, thus, the prevalence of cybercrime has necessitated the use of digital …

Designing an IVR-based Speech Data Collection Framework for building Realistic Speech Corpus on Forensic Automatic Speaker Recognition

S Khan, J Basu, MS Bepari, M Pal… - 2023 26th Conference of …, 2023 - ieeexplore.ieee.org
Automatic speaker recognition in forensic scenarios or Forensic Speaker Recognition (FSR)
works involve serious challenges with respect to highly case-specific audio data processing …

Voice Comparison Approaches for Forensic Application: A Review

TC Nagavi, P Mahesha - 2023 Third International …, 2023 - ieeexplore.ieee.org
Advancement in technology has led to various types of online security attacks and frauds.
Evidences produced is in digital form and the field of analysis is called digital forensics. It …