LINGUIST List 21.1047
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Wed Mar 03 2010
Support: Forensic Linguistics: PhD Student, U. of York, UK
Editor for this issue: Matthew Lahrman
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Directory
1. Paul
Foulkes,
Forensic Linguistics, Multimodal Speaker Recognition: PhD Student, University of York, United Kingdom
Message 1: Forensic Linguistics, Multimodal Speaker Recognition: PhD Student, University of York, United Kingdom
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Date: 25-Feb-2010
From: Paul Foulkes <pf11york.ac.uk>
Subject: Forensic Linguistics, Multimodal Speaker Recognition: PhD Student, University of York, United Kingdom
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Institution/Organization: University of York
Department: Language and Linguistic Science
Web Address: http://www.york.ac.uk
Level: PhD
Duties: Research
Specialty Areas: Forensic Linguistics; Phonetics; Psycholinguistics
Acoustics
Description:
Multimodal speaker recognition
This announcement has been reposted with updated Application Deadline here:
http://linguistlist.org/issues/21/21-1689.html
Salary: £28,579 - £31,031 per annum, plus generous travel allowances and career
exploratory allowances, which are available under Marie Curie ITN provisions.
The post is available from 1 May 2010, or as soon as possible thereafter, for a
period of three years. You must complete a doctoral dissertation within three
years of the start date.
The Role
You will work on a project assessing the performance of humans and automated
systems in speaker recognition, where audiovisual information is obscured. The
project is funded by the Marie Curie Training Network Bayesian Biometrics for
Forensics, which consists of 12 European research institutes and associated
partners. The post will be based at York, but you will be required to spend a
period at another Network institute, and you will also have the opportunity to
gain experience in a commercial or forensic laboratory.
You will have a Masters degree in Linguistics, Phonetics and/or Acoustics, or
Psychology; a good working knowledge of statistical methods, and a high level of
competence in written and spoken English.
Eligibility criteria are quite complex. It must be less than four years since
completion of your most recent degree and you cannot have been resident in the
UK for a total of more than 12 months in the last three years. UK nationals are
generally not eligible to apply. Further details about the eligibility criteria
can be found in the further information for the post.
The Project
Supervisors: Dr. Dominic Watt (York) and Prof. Dr. David van Leeuwen (TNO -
Netherlands Organisation for Applied Scientific Research/Radboud University,
Nijmegen)
With various forms of biometric technologies becoming available, there is a
growing need for scientists who are able to assess the merits of these
technologies when applied to forensics. The ESR will investigate multimodal
speech and speaker recognition from a forensic perspective through assessments
of the performance of human subjects and automated speech and speaker
recognition systems where the quality and quantity of the information available
in the audiovisual signal is manipulated experimentally. In particular, he or
she will simulate forensically-relevant scenarios in which the talker's face may
be partially or completely obscured by clothing such as the face-concealing
garments or safety equipment worn for legitimate occupational, recreational or
religious reasons, or for the commission of robberies, assaults or terrorist
activities. The research will include theoretical aspects such as developing a
general framework for evidence evaluation and reporting, and experimental
aspects by conducting studies with both human subjects and automatic speech and
speaker recognition systems. The candidate will collaborate with other PhD
students and senior researchers in the Network, in a highly interdisciplinary
environment.
Applications Deadline: 25-Jul-2010
Web Address for Applications: https://www22.i-grasp.com/fe/tpl_YorkUni01.asp?s=raCzFKhUsJVaXxJsp&jobid=32558,5668254123&key=3997284&c=837956365614&pagestamp=sewlojiepykivxnfts
Contact Information:
Dr Dominic Watt
dw539york.ac.uk
Phone:44 1904 432671
Fax:44 1904 432681
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