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Forensic automatic speaker recognition: fiction or science?

Proceedings article published in 2015 by Joaquin Gonzalez-Rodriguez ORCID, Assoc Isca-Inst Speech Communication
This paper was not found in any repository; the policy of its publisher is unknown or unclear.
This paper was not found in any repository; the policy of its publisher is unknown or unclear.

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Question mark in circle
Preprint: policy unknown
Question mark in circle
Postprint: policy unknown
Question mark in circle
Published version: policy unknown

Abstract

Proceedings of Interspeech 2008, Brisbane (Australia) ; Incluye presentación en Power Point ofrecida durante el congreso. ; Hollywood films and CSI-like movies show a technology landscape far from real, both in forensic speaker recognition and other identification-of-the-source forensic areas. Lay persons are used to good-looking scientist-and-investigators performing voice identifications ("we got a match!") or smart fancy devices producing voice transformations causing one actor to instantaneously talk with the voice of other. Simultaneously, Forensic Identification Science is facing a global challenge impelled firstly by progressively higher requirements for admissibility of expert testimony in Court and secondly by the transparent and testable nature of DNA typing, which is now seen as the new gold-standard model of a scientifically defensible approach to be emulated by all other identification-of-the-source areas. In this presentation we will show how forensic speaker recognition can comply with the requirements of transparency and testability in forensic science This will lead to fulfilling the court requirements about role separation between scientists and judges/juries, and bring about integration in a forensically adequate framework in which the scientist provides the appropriate information necessary to the court's decision processes.