Impact of rhythm on forensic voice comparison reliability

Abstract

It is common to see voice recordings being presented as a forensic trace in court. Generally, a forensic expert is asked to analyze both suspect and criminals voice samples in order to indicate whether the evidence supports the prosecution (samespeaker) or defence (different-speakers) hypotheses. This process is known as Forensic Voice Comparison (FVC). Since the emergence of the DNA typing model, the likelihood-ratio (LR) framework has become the new golden standard in forensic sciences. The LR not only supports one of the hypotheses but also quantifies the strength of its support. However, the LR accepts some practical limitations due to its estimation process itself. It is particularly true when Automatic Speaker Recognition (ASpR) systems are considered as they are outputting a score in all situations regardless of the case specific conditions. Indeed, several factors are not taken into account by the estimation process like the quality and quantity of information in both voice recordings, their phonological content or also the speakers intrinsic characteristics, etc. All these factors put into question the validity and reliability of FVC. In our recent study, we showed that intra-speaker variability explains 2/3 of the system losses. In this article, we investigate the relations between intra-speaker variability and rhythmic parameters.

Variations de débit articulatoire sur un corpus conversationnel avec différents types d'interactions

“…La fréquence des études visant à comprendre les caractéristiques de parole des individus ne cesse de croître, notamment dans les domaines informatiques, robotiques et judiciaires (Campbell, 2009 ;Ajili, 2018). La plupart des études se concentrent sur des caractéristiques de la voix et la parole telles que la fréquence fondamentale ou les caractéristiques spectrales.…”