The PhD project aims to consider the relationships between traditional phonetic analyses and automatic speaker recognition (computer-based identification and recognition of the identity behind a voice). Both traditional phonetic and automatic (machine-based) techniques are used. hoax call, ransom demand, telephone threat, etc.) or due to a witness having heard a speech event at a crime scene. Kirsty is currently Principal Investigator on the ESRC-funded project IVIP (‘Improving Voice Identification Procedures’), an interdisciplinary project bringing together researchers in linguistics, psychology, criminology and law, with the aims of improving understanding of earwitness behaviour and improving the interaction of the criminal justice system with the use of earwitness evidence.įorensic phonetics is the application of phonetic analysis to criminal cases, often where the identity of a speaker is in question, either due to an incriminating recording (e.g. ![]() The studentship is a collaboration between the University of Cambridge Phonetics Laboratory, Oxford Wave Research Ltd (OWR), a leading audio-processing and voice biometrics company experienced in developing solutions in forensic speech and audio, and the Cambridge Trust.ĭr Kirsty McDougall, University Lecturer in Phonetics in the Theoretical and Applied Linguistics Section and Cambridge Language Sciences network member will oversee the studentship which began in October 2020 and is based at Selwyn College, Cambridge. All rights reserved.Following the success of Dr Kirsty McDougall and her team in securing funding for their research on ‘Improving Voice Identification Procedures’ (IVIP), a new PhD studentship in forensic phonetics has now been established to work in this area. Finally, a few suggestions will be made that should assist in upgrading the effectiveness of aural perceptual speaker identification (AP SI).Īural perceptual analysis Expert witnesses Forensic phonetics Forensic science Speaker identification Speaker recognition Speech analysis.Ĭopyright © 2016 Elsevier Ireland Ltd. How the cited approach interacts both with progress in verification and the developing SI machine-based identification systems also will be considered. Also discussed are the standards which have been established, their impact on SI development and its present limitations. The product of that effort will be reviewed and organized into a platform which supports SI procedures consistent with the forensic model. Since much of the SI development preceded the structuring of appropriate standards, the recommended stop-gap response described here is based on somewhat uncoordinated, but extensive, research. ![]() Consideration of these (and related) issues will be followed by a brief history about how the need for SI developed and some of the responses to the problem. Notable among them are (1) the sharp underestimation of its complexity and (2) its confounding with speaker verification (SV). ![]() This has not happened and the review to follow will provide some of the reasons why. Once forensic speaker identification (SI) was recognized as an entity, it was predicted that valid computer based identification systems would quickly become a reality.
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