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Correlating cepstra with formant frequencies: : implications for phonetically-informed forensic voice comparison
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Effects of formant settings and channel mismatch on semi-automatic systems in forensic voice comparison
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Sharing innovative methods, data and knowledge across sociophonetics and forensic speech science
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Investigating the forensic applications of global and local temporal representations of speech for dialect discrimination
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The effect of score sampling on system stability in likelihood ratio based forensic voice comparison
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Forensic voice comparison using long-term acoustic measures of voice quality
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The use of the vocal profile analysis for speaker characterization : methodological proposals
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The individual and the system : Assessing the stability of the output of a semi-automatic forensic voice comparison system
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Questions, propositions and assessing different levels of evidence : Forensic voice comparison in practice
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Three steps forward for predictability : Consideration of methodological robustness, indexical and prosodic factors, and replication in the laboratory
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WikiDialects: a resource for assessing typicality in forensic voice comparison ...
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What is the relevant population? Considerations for the computation of likelihood ratios in forensic voice comparison
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Mapping across feature spaces in forensic voice comparison: the contribution of auditory-based voice quality to (semi-)automatic system testing
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Perceptual similarity of identical twins across different L1 listeners: the importance of voice quality in Forensic Phonetics ...
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Formant dynamics and durations of um improve the performance of automatic speaker recognition systems
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The relevant population in forensic voice comparison: Effects of varying delimitations of social class and age
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In: Speech Communication 66 (2015), 218-230
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IDS Bibliografie zur Gesprächsforschung
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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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Abstract:
In likelihood ratio (LR)-based forensic speaker comparison it is essential to consider correlations between parameters to accurately estimate the overall strength of the evidence. Current approaches attempt to deal with correlations after the computation of LRs (back-end processing). This paper explores alternative, front-end techniques, which consider the underlying correlation structure of the raw data. Calibrated LRs were computed for a range of parameters commonly analysed in speaker comparisons. LRs were combined using (1) an assumption of independence, (2) the mean, (3) assumptions from phonetic theory, and (4) empirical correlations in the raw data. System (1), based on an assumption of independence, produced the best validity (Cllr = 0.04). Predictably, overall strength of evidence was also highest for system (1), while strength of evidence was weakest using the mean (2). Both systems (3) and (4) performed well achieving Cllr values of ca. 0.09.
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Keyword:
H Social Sciences (General); HA Statistics; P Philology. Linguistics; PE English; QA Mathematics
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URL: http://eprints.hud.ac.uk/id/eprint/29932/1/ICPHS0486.pdf http://eprints.hud.ac.uk/id/eprint/29932/
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The definition of the relevant population and the collection of data for likelihood ratio-based forensic voice comparison
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Issues and opportunities: The application of the numerical likelihood ratio framework to forensic speaker comparison
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