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A test of the effectiveness of speaker verification for differentiating between identical twins
Authors:Aladdin Ariyaeeinia   Christopher Morrison   Amit Malegaonkar  Sue Black  
Affiliation:aFaculty of Engineering and Information Sciences, University of Hertfordshire, College Lane, Hatfield, Hertfordshire, AL10 9AB, UK;bCentre for Anatomy and Human Identification, University of Dundee, Dundee, DD1 4EH, UK
Abstract:This paper presents investigations into the ability of speaker verification technology to discriminate between identical twins. It is shown that whilst, in general, the genetic and non-genetic characteristics of voice are both of value to speaker verification capabilities, it is the latter which is highly beneficial in the separation of the speech of identical twins. It is further demonstrated that through the use of unconstrained cohort normalisation as a complementary means for the exploitation of such voice characteristics, the verification reliability can be considerably enhanced for both identical twins and unrelated speakers. Experiments were conducted using a bespoke clean-speech database consisting of utterances from 49 identical twin pairs. The paper details the problem in speaker verification posed by identical twins, discusses the experimental investigations and provides an analysis of the results.
Keywords:Speaker verification   Identical twins   Score normalisation   Biometrics
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