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Introduction

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Hughes, V. (2017) Sociolinguistics and forensic speech science: knowledge- and data-sharing. Paper presented at the 'Sociolinguistics and Forensic Speech Science' Workshop at NWAV46, University of Wisconsin at Madison, WI. 2 November 2017.

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Introduction

  1. 1. Sociolinguistics and Forensic Speech Science Knowledge- and Data-Sharing Workshop @ NWAV46 2nd November 2017
  2. 2. About us 2 Vincent Hughes University of York vincent.hughes@york.ac.uk @VinceH_Forensic Jessica Wormald J P French Associates jessica.wormald@jpfrench.com @J_Wormald Erica Gold University of Huddersfield e.gold@hud.ac.uk @PhoneticsErica
  3. 3. Aim of this workshop encourage collaboration and knowledge-/data- sharing between sociolinguistics and forensics (as well as other disciplines of linguistics) 3
  4. 4. and specifically… 4 • give a practical introduction to the application of phonetic and sociolinguistic methods in forensic casework • discuss data sharing and the creation of resources for storing and analysing recordings for use in sociolinguistics and in forensic cases • explore the reciprocal theoretical and methodological benefits of greater collaboration between fields
  5. 5. Structure 5 13:00 – 13:10 Welcome and Introduction 13:10 – 13:45 Practical Session 13:45 – 14:00 Linking Forensics and Sociolinguistics 14:00 – 14:45 Talks 14:45 – 15:00 Discussion
  6. 6. Talks Yvan Rose Memorial University Building searchable corpora for linguistic and forensic analyses Tyler Kendall University of Oregon Using large corpora in sociolinguistics Natalie Schilling Georgetown University Ethical considerations and implications for the collection of speech corpora for use in forensic casework 6
  7. 7. Some background 7 • long history (back to 60s in UK) – traditionally an application of phonetics and sociolinguistics – more recently: development as an independent discipline • 500-600 cases/year in UK – c. 70% = voice comparison
  8. 8. Some background 8 known suspect vs. unknown offender
  9. 9. Some background 9 Similarity Typicality How similar are the offender and suspect voices to each other? (wrt the features analysed) How unusual are those features relative to the wider population? it matters “whether the values found matching (…) are vanishingly rare, or sporadic, or near universal” (Nolan 2001: 16)
  10. 10. Materials and Discussion https://drive.google.com/drive/folders/0B4Vc8Th 8gYCLWUJBbkUwaVBVSUU?usp=sharing 10

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