Articulation rate as a speaker discriminant in British English

Erica Gold

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Identifying speech parameters that have both a low level of intra-speaker variability and a high level of inter-speaker variability is key when discriminating between individuals in forensic speaker comparison cases. A substantial amount of research in the field of forensic phonetics has been devoted to identifying highly discriminant speaker parameters. To this end, the vast majority of the existing literature has focused solely on vowels and constants. However, the discriminant power of speaking tempo has yet to be examined, despite its broad use in practice and it having been recognized.
This paper examines, for the first time, the discriminant power of articulation rate (AR) in British English. Approximately 3000 local ARs were measured in this study for 100 Southern Standard British English male speakers. In order to assess the evidential value of AR, likelihood ratios were calculated. The results suggest that AR performs well for same speaker comparisons. However, for different speaker comparisons, the system is performing just worse than chance. Overall, it appears that AR may not be the best speaker discriminant, although it is important to still consider AR in forensic speaker comparisons as there may be some individuals for which AR is highly idiosyncratic.
Original languageEnglish
Title of host publicationInterspeech 2018
Pages1828-1832
Number of pages5
DOIs
Publication statusPublished - 2 Sep 2018
EventInterspeech 2018: Speech Research for Emerging Markets in Multilingual Societies - Hyderabad International Convention Centre, Hyderabad, India
Duration: 2 Sep 20186 Sep 2018
http://interspeech2018.org/index.html (Link to Conference Website)

Conference

ConferenceInterspeech 2018
Country/TerritoryIndia
CityHyderabad
Period2/09/186/09/18
Internet address

Fingerprint

Dive into the research topics of 'Articulation rate as a speaker discriminant in British English'. Together they form a unique fingerprint.

Cite this