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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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Issues and opportunities: The application of the numerical likelihood ratio framework to forensic speaker comparison
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