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Journal Article Open Access

Forensic Speech Enhancement: Toward Reliable Handling of Poor-Quality Speech Recordings Used as Evidence in Criminal Trials

Authors: Fraser, Helen; Aubanel, Vincent; Maher, Robert C.; Mawalim, Candy; Wang, Xin; Poc̆ta, Peter; Keith, Emma; Chollet, Gérard; Pizzi, Karla

Journal of the Audio Engineering Society · Volume 72 · Issue 11 · pp. 748–753 · November 2024

Abstract

This paper proposes an innovative interdisciplinary approach to evaluating the effectiveness of forensic speech enhancement (FSE). FSE faces unique challenges arising from a range of factors, from poor recording quality, highly variable conditions from case to case, and content uncertainty. Despite these difficulties, FSE is commonly admitted in court, and can significantly influence the outcome of criminal trials. Current FSE practices are hindered by unrealistic expectations from courts, which often assume that enhanced audio inherently clarifies content. In fact, FSE can have the undesired opposite effect, potentially resulting in unfair prejudice, when, for example, it increases the credibility of a misleading transcript. The proposed interdisciplinary project advocates for a better consideration of speech perception factors, particularly those related to transcription. It aims to bridge the gap between FSE and forensic transcription by promoting a combined approach to enhancing and accurately transcribing forensic audio. By developing a position statement on FSE capabilities, the project seeks to establish realistic standards and foster collaboration among researchers and practitioners. This effort aims to ensure reliable, accountable forensic audio evidence, aligning with forensic science standards and improving the effectiveness of the justice system.

Details

Publication
Journal of the Audio Engineering Society
Volume
72
Issue
11
Pages
748–753
Publication date
November 13, 2024
Affiliation
Research Hub for Language in Forensic Evidence, The University of Melbourne, Melbourne, Australia; Department of Electrical and Computer Engineering, Montana State University, Bozeman, MT 59717, USA; Japan Advanced Institute of Science and Technology (JAIST), Nomi, Japan; University of Žilina, Žilina, Slovakia; Australian National University, Canberra, Australia; Institut Polytechnique de Paris, Paris, France; Neodyme AG, Garching, Germany; Technical University of Munich (TUM), Munich, Germany (See document for exact affiliation information.)
Type
Journal Article