Phonological content impact on wrongful convictions in Forensic Voice Comparison context

Abstract : Forensic Voice Comparison (FVC) is increasingly using the likelihood ratio (LR) in order to indicate whether the evidence supports the prosecution (same-speaker) or defender (different-speakers) hypotheses. Nevertheless, the LR accepts some practical limitations due both to its estimation process itself and to a lack of knowledge about the reliability of this (practical) estimation process. It is particularly true when FVC is considered using Automatic Speaker Recognition (ASR) systems. Indeed, in the LR estimation performed by ASR systems, different factors are not considered such as speaker intrinsic characteristics, denoted "speaker factor", the amount of information involved in the comparison as well as the phonological content and so on. This article focuses on the impact of phono-logical content on FVC involving two different speakers and more precisely the potential implication of a specific phonemic category on wrongful conviction cases (innocents are send behind bars). We show that even though the vast majority of speaker pairs (more than 90%) are well discriminated, few pairs are difficult to distinguish. For the "best" discriminated pairs, all the phonemic content play a positive role in speaker discrimination while for the "worst" pairs, it appears that nasals have a negative effect and lead to a confusion between speakers.
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Communication dans un congrès
The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP2017, Mar 2017, New Orleans, United States. pp.2147-2151, 〈10.1109/icassp.2017.7952536〉
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https://hal.archives-ouvertes.fr/hal-01962627
Contributeur : Solange Rossato <>
Soumis le : jeudi 20 décembre 2018 - 17:03:09
Dernière modification le : lundi 11 février 2019 - 16:36:02

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Moez Ajili, Jean-François Bonastre, Waad Ben Kheder, Solange Rossato, Juliette Kahn. Phonological content impact on wrongful convictions in Forensic Voice Comparison context. The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP2017, Mar 2017, New Orleans, United States. pp.2147-2151, 〈10.1109/icassp.2017.7952536〉. 〈hal-01962627〉

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