A test of the effectiveness of speaker verification for differentiating between identical twins.
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 forty nine 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.
Item Type | Article |
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Uncontrolled Keywords | score normalisation; biometrics |
Date Deposited | 26 Jul 2024 22:46 |
Last Modified | 26 Jul 2024 22:46 |
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