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- W4308221294 abstract "The human-supervised-automatic analytical approach to forensic voice comparison in conjunction with the likelihood-ratio interpretive framework is described. Practitioner tasks are described, including adoption of relevant hypotheses for the case, assessment of the conditions of the questioned-speaker and known-speaker recordings in the case, and selection of data representing the relevant population and reflecting the conditions for the case. Software tools are also described. An example is provided of a forensic-voice-comparison system based on state-of-the-art automatic-speaker-recognition technology. Also described are the calibration and validation of that system using a benchmark dataset reflecting the conditions of a real forensic case." @default.
- W4308221294 created "2022-11-09" @default.
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- W4308221294 date "2023-01-01" @default.
- W4308221294 modified "2023-10-16" @default.
- W4308221294 title "Forensic Voice Comparison: Human-Supervised-Automatic Approach" @default.
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- W4308221294 doi "https://doi.org/10.1016/b978-0-12-823677-2.00182-3" @default.
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