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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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The definition of the relevant population and the collection of data for likelihood ratio-based forensic voice comparison
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Abstract:
Within the field of forensic speech science there is increasing acceptance of the likelihood ratio (LR) as the logically and legally correct framework for evaluating forensic voice comparison (FVC) evidence. However, only a small proportion of experts cur- rently use the numerical LR in casework. This is due primarily to the difficulties involved in accounting for the inherent, and arguably unique, complexity of speech in a fully data-driven, numerical LR analysis. This thesis addresses two such issues: the definition of the relevant population and the amount of data required for system testing. Firstly, experiments are presented which explore the extent to which LRs are affected by different definitions of the relevant population with regard to sources of systematic sociolinguistic between-speaker variation (regional background, socio-economic class and age) using both linguistic-phonetic and ASR variables. Results show that different definitions of the relevant population can have a substantial effect on the magnitude of LRs, depending on the input variable. However, system validity results suggest that narrow controls over sociolinguistic sources of variation should be preferred to general controls. Secondly, experiments are presented which evaluate the effects of development, test and reference sample size on LRs. Consistent with general principles in statistics, more precise results are found using more data across all experiments. There is also considerable evidence of a relationship between sample size sensitivity and the dimensionality and speaker discriminatory power of the input variable. Further, there are potential trade-offs in the size of each set depending on which element of LR output the analyst is interested in. The results in this thesis will contribute towards im- proving the extent to which LR methods account for the linguistic-phonetic complexity of speech evidence. In accounting for this complexity, this work will also increase the practical viability of applying the numerical LR to FVC casework.
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URL: https://eprints.whiterose.ac.uk/117393/ https://eprints.whiterose.ac.uk/117393/1/Hughes_V._2014_PhD.pdf
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Issues and opportunities: The application of the numerical likelihood ratio framework to forensic speaker comparison
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