title: A test of the effectiveness of speaker verification for differentiating between identical twins.
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.
authors.affiliation: Faculty of Engineering and Information Sciences, University of Hertfordshire, College Lane, Hatfield, Hertfordshire, AL10 9AB, UK. a.m.ariyaeeinia@herts.ac.uk
authors.forename: Aladdin
authors.initials: A
authors.lastname: Ariyaeeinia
authors.forename: Christopher
authors.initials: C
authors.lastname: Morrison
authors.forename: Amit
authors.initials: A
authors.lastname: Malegaonkar
authors.forename: Sue
authors.initials: S
authors.lastname: Black
mesh_terms: D016208:Databases, Factual; D005260:Female; D044707:Forensic Sciences / Q000379:methods; D006801:Humans; D008297:Male; D013018:Sound Spectrography / Q000379:methods; D013061:Speech Acoustics; D013067:Speech Perception; D049250:Speech Recognition Software; D014430:Twins, Monozygotic / Q000502:physiology*; D014833:Voice Quality / Q000502:physiology*