Testing voice mimicry with the YOHO speaker verification corpus

Authors:
Yee W. Lau;Dat Tran;Michael Wagner
Affiliations:
School of Information Sciences and Engineering, University of Canberra, Australia;School of Information Sciences and Engineering, University of Canberra, Australia;School of Information Sciences and Engineering, University of Canberra, Australia
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Year:
2005

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Abstract

The aim of this paper is to determine how vulnerable a speaker verification system is to conscious effort by impostors to mimic a client of the system. The paper explores systematically how much closer an impostor can get to another speaker's voice by repeated attempts. Experiments on 138 speakers in the YOHO database and six people who played a role as imitators showed a fact that professional linguists could successfully attack the system. Non-professional people could have a good chance if they know their closest speaker in the database.