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Articulation Rates' Inter-Correlations And Discriminating Powers In An English Speech Corpus
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A CAUTIONARY TALE FOR PHONETIC ANALYSIS: THE VARIABILITY OF SPEECH BETWEEN AND WITHIN RECORDING SESSIONS ...
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What the /fᴧk/? An acoustic pragmatic-analysis of meaning in The Wire
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Speaker Identification Using Laughter in a Close Social Network
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An introduction to the West Yorkshire Regional English Database
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Front-end approaches to the issue of correlations in forensic speaker comparison
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Front-end approaches to the issue of correlations in forensic speaker comparison
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Issues and opportunities: The application of the numerical likelihood ratio framework to forensic speaker comparison
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Abstract:
Across forensic speech science, the likelihood ratio (LR) is increasingly becoming accepted as the logically and legally correct framework for the expression of expert conclusions. However, there remain a number of theoretical and practical shortcomings in the procedures applied for computing LRs based on speech evidence. In this paper we review how the LR is currently applied to speaker comparison evidence and outline three specific areas which deserve further investigation: namely statistical modelling, issues relating to the relevant population and the combination of LRs from correlated parameters. We then consider future directions for confronting these issues and discuss the implications for forensic comparison evidence more generally.
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Keyword:
HA Statistics; P Philology. Linguistics; RA1001 Forensic Medicine. Medical jurisprudence. Legal medicine
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URL: http://eprints.hud.ac.uk/id/eprint/24172/ https://doi.org/10.1016/j.scijus.2014.04.003
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Calculating likelihood ratios for forensic speaker comparisons using phonetic and linguistic parameters
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Gold, Erica Ashley. - : University of York, 2014. : Language and Linguistic Science (York), 2014
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Examining long-term formant distributions as a discriminant in forensic speaker comparisons under a likelihood ratio framework
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Clicking behavior as a possible speaker discriminant in English
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Reference Sample Size and the Computation of Numerical Likelihood Ratios Using Articulation Rate
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An international investigation of forensic speaker comparison practices
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