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Speaker identification in courtroom contexts - Part III: Groups of collaborating listeners compared to forensic voice comparison based on automatic-speaker-recognition technology.
Bali, Agnes S; Basu, Nabanita; Weber, Philip; Rosas-Aguilar, Claudia; Edmond, Gary; Martire, Kristy A; Morrison, Geoffrey Stewart.
Affiliation
  • Bali AS; School of Psychology, University of New South Wales, Sydney, New South Wales, Australia.
  • Basu N; Forensic Data Science Laboratory, Aston University, Birmingham, UK.
  • Weber P; Forensic Data Science Laboratory, Aston University, Birmingham, UK.
  • Rosas-Aguilar C; Instituto de Lingüística y Literatura, Universidad Austral de Chile, Valdivia, Chile.
  • Edmond G; School of Law, Society & Criminology, University of New South Wales, Sydney, New South Wales, Australia.
  • Martire KA; School of Psychology, University of New South Wales, Sydney, New South Wales, Australia.
  • Morrison GS; Forensic Data Science Laboratory, Aston University, Birmingham, UK; Forensic Evaluation Ltd, Birmingham, UK. Electronic address: geoff-morrison@forensic-evaluation.net.
Forensic Sci Int ; 360: 112048, 2024 Jul.
Article in En | MEDLINE | ID: mdl-38733653
ABSTRACT
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 expert's forensic voice comparison should be more accurate than the trier of fact's speaker identification. "Speaker identification in courtroom contexts - Part I" addressed the question of whether speaker identification by an individual lay listener (such as a judge) would be more or less accurate than the output of a forensic-voice-comparison system that is based on state-of-the-art automatic-speaker-recognition technology. The present paper addresses the question of whether speaker identification by a group of collaborating lay listeners (such as a jury) would be more or less accurate than the output of such a forensic-voice-comparison system. As members of collaborating groups, participants listen to pairs of recordings reflecting the conditions of the questioned- and known-speaker recordings in an actual case, confer, and make a probabilistic consensus judgement on each pair of recordings. The present paper also compares group-consensus responses with "wisdom of the crowd" which uses the average of the responses from multiple independent individual listeners.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Voice / Forensic Sciences Limits: Adult / Female / Humans / Male Language: En Journal: Forensic Sci Int Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Voice / Forensic Sciences Limits: Adult / Female / Humans / Male Language: En Journal: Forensic Sci Int Year: 2024 Document type: Article