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Cross-language Forensic Voice Comparison of Hong Kong Trilingual Speakers Using Filled Pauses and an Automatic Speaker Recognition System

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Forensic voice comparison (FVC) involving bilingual speakers presents a substantial challenge to forensic practitioners. Previous FVC research suggests that discriminatory power is, unsurprisingly, weaker in language mismatch conditions than in the language match conditions. The present paper extends on previous work examining bilingual speakers to consider trilingual speakers. Specifically, we conduct FVC tests of Cantonese-English-Mandarin trilinguals using acoustic-phonetic data extracted from filled pauses and using an automatic speaker recognition (ASR) system. A different language effect was found in the two systems, such that the Mandarin-English condition produced the best performance in the acoustic-phonetic based system, while the Cantonese-English condition produced the worst performance in the ASR system. Individual-speaker analysis suggests that trilingual speakers’ proficiency in L2 and L3 seems to affect how well they perform in cross-language FVC.

Original languageEnglish
Title of host publication2024 14th International Symposium on Chinese Spoken Language Processing, ISCSLP 2024
EditorsYanmin Qian, Qin Jin, Zhijian Ou, Zhenhua Ling, Zhiyong Wu, Ya Li, Lei Xie, Jianhua Tao
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages279-283
Number of pages5
ISBN (Electronic)9798331516826
DOIs
Publication statusPublished - Nov 2024
Event14th International Symposium on Chinese Spoken Language Processing, ISCSLP 2024 - Beijing, China
Duration: 7 Nov 202410 Nov 2024

Publication series

Name2024 14th International Symposium on Chinese Spoken Language Processing, ISCSLP 2024

Conference

Conference14th International Symposium on Chinese Spoken Language Processing, ISCSLP 2024
Country/TerritoryChina
CityBeijing
Period7/11/2410/11/24

Keywords

  • automatic speaker recognition
  • cross-language comparison
  • filled pauses
  • forensic voice comparison
  • trilingualism

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language
  • Signal Processing
  • Education

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