Speaker identification in courtroom contexts - Part III: Groups of collaborating listeners compared to forensic voice comparison based on automatic-speaker-recognition technology

Forensic Sci Int. 2024 Jul:360:112048. doi: 10.1016/j.forsciint.2024.112048. Epub 2024 May 6.

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.

Keywords: Admissibility; Forensic voice comparison; Likelihood ratio; Speaker identification; Validation.

MeSH terms

  • Adult
  • Biometric Identification / methods
  • Cooperative Behavior
  • Expert Testimony
  • Female
  • Forensic Sciences* / methods
  • Humans
  • Male
  • Speech Recognition Software
  • Voice*