说话人识别
说话人识别
语音识别
说话人日记
鉴定(生物学)
法医学
计算机科学
语音分析
法医鉴定
心理学
医学
历史
兽医学
植物
生物
考古
作者
Agnes S. Bali,Nabanita Basu,Philip Weber,Claudia Rosas-Aguilar,Gary Edmond,Kristy A. Martire,Geoffrey Stewart Morrison
标识
DOI:10.1016/j.forsciint.2024.112048
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI