Lauren Harrington
Biographic Data
| ID | 9007194 |
|---|---|
| NAME | Lauren Harrington |
| GIVEN NAMES | Lauren |
| FAMILY NAME | Harrington |
| SIGNATURE | HARRINGTON L |
| AFFILIATIONS | University of York |
| ORCID | 0000-0003-0357-159X |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The 33 rd Annual Conference of the International Association for Forensic Phonetics and Acoustics (Iafpa)
Survey on forensic transcription practices
In this article we present the results of a survey about expert transcription practices, which received responses from 28 forensic practitioners from Europe and North America. We found a number of areas of convergence in transcription methods, such as the production of multiple drafts and widespread awareness of priming and cognitive bias. Responses also revealed some areas with less agreement among practitioners, particularly concerning drafting…
Incorporating automatic speech recognition methods into the transcription of police-suspect interviews
Introduction In England and Wales, transcripts of police-suspect interviews are often admitted as evidence in courts of law. Orthographic transcription is a time-consuming process and is usually carried out by untrained transcribers, resulting in records that contain summaries of large sections of the interview and paraphrased speech. The omission or inaccurate representation of important speech content could have serious consequences in a court …
Style variability in disfluency analysis for forensic speaker comparison
Disfluencies are a natural part of speech, often going unnoticed by both speaker and listener. Recent research on disfluency profiles (McDougall and Duckworth 2017, 2018) shows that they contain speaker-specific information which could be analysed and compared in forensic speaker comparison (FSC) casework. Since samples in FSC tend to be mismatched for speaking situation and style, the present study investigates the consistency of speakers’ disfl…
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Style variability in disfluency analysis for forensic speaker comparison
Disfluencies are a natural part of speech, often going unnoticed by both speaker and listener. Recent research on disfluency profiles (McDougall and Duckworth 2017, 2018) shows that they contain speaker-specific information which could be analysed and compared in forensic speaker comparison (FSC) casework. Since samples in FSC tend to be mismatched for speaking situation and style, the present study investigates the consistency of speakers’ disfl…
Incorporating automatic speech recognition methods into the transcription of police-suspect interviews
Introduction In England and Wales, transcripts of police-suspect interviews are often admitted as evidence in courts of law. Orthographic transcription is a time-consuming process and is usually carried out by untrained transcribers, resulting in records that contain summaries of large sections of the interview and paraphrased speech. The omission or inaccurate representation of important speech content could have serious consequences in a court …
Survey on forensic transcription practices
In this article we present the results of a survey about expert transcription practices, which received responses from 28 forensic practitioners from Europe and North America. We found a number of areas of convergence in transcription methods, such as the production of multiple drafts and widespread awareness of priming and cognitive bias. Responses also revealed some areas with less agreement among practitioners, particularly concerning drafting…
The 33 rd Annual Conference of the International Association for Forensic Phonetics and Acoustics (Iafpa)
Computer Science (3 works) · Linguistics (3 works) · Phonetics and Phonology Research (3 works) · Forensic science (2 works) · Psychology (2 works) · Speech Recognition and Synthesis (2 works) · Voice and Speech Disorders (2 works) · Acoustic Phonetics (1 work) · Artificial Intelligence (1 work) · Biology (1 work)