How Many Do We Need? Exploration of the Population Size Effect on the Performance of Forensic Speaker Classification

Shunichi Ishihara, Yuko Kinoshita

Research output: A Conference proceeding or a Chapter in BookConference contribution

13 Citations (Scopus)

Abstract

This paper investigates how change in population size affects the reliability of the likelihood ratio (LR)-based forensic speaker classification. Using features of the long term F0 distribution, we performed LR-based speaker classification and examined its performance with population sizes from 10 to 120. The results revealed that LRs could be heavily influenced by the population data. We discovered that the reliability of LR-based evaluation of the evidence was heavily compromised if the population data was limited to a small number of speakers.
Original languageEnglish
Title of host publicationProceedings of the 9th Annual conference of International Speech Communication Association (Interspeech 2008)
EditorsM Wagner
Place of PublicationChina
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1941-1944
Number of pages4
Volume1
ISBN (Print)9780769531748
Publication statusPublished - 2008
EventInterspeech 2008 - Brisbane, Australia
Duration: 22 Sep 200826 Sep 2008

Conference

ConferenceInterspeech 2008
CountryAustralia
CityBrisbane
Period22/09/0826/09/08

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Ishihara, S., & Kinoshita, Y. (2008). How Many Do We Need? Exploration of the Population Size Effect on the Performance of Forensic Speaker Classification. In M. Wagner (Ed.), Proceedings of the 9th Annual conference of International Speech Communication Association (Interspeech 2008) (Vol. 1, pp. 1941-1944). China: IEEE, Institute of Electrical and Electronics Engineers.