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Author Ajili, Moez ♦ Bonastre, Jean-François ♦ Kheder, Waad Ben ♦ Rossato, Solange ♦ Kahn, Juliette
Source Hyper Articles en Ligne (HAL)
Content type Text
File Format PDF
Language English
Subject Keyword reliability ♦ forensic voice comparison ♦ phonemic category ♦ wrongful conviction ♦ speaker factor ♦ speaker recognition ♦ info ♦ shs ♦ Computer Science [cs]/Computation and Language [cs.CL] ♦ Humanities and Social Sciences/Linguistics
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.
Educational Use Research
Learning Resource Type Proceeding
Page Count 5
Starting Page 2147
Ending Page 2151