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        Analysis and Comparison of Score Normalisation Methods for Text-Dependent Speaker Verification

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        Author
        Ariyaeeinia, Aladdin
        Sivakumaran, P.
        Attention
        2299/20977
        Abstract
        This paper presents an investigation into the relative effectiveness of various score normalisation methods for speaker verification. The study provides a thorough analysis of different approaches for normalising verification scores, and comparatively examines these under identical experimental conditions. The experiments are based on the use of subsets of the Brent (telephone quality) speech database, consisting of repetitions of isolated digit utterances zero to nine spoken by native English speakers. Based on the experimental results it is demonstrated that amongst the considered methods, a particular form of the cohort normalisation method provides the best performance in terms of the verification accuracy. The paper discusses details of the experimental study and presents an analysis of the results.
        Publication date
        1997
        Published in
        Proceedings of the 5th European Conference on Speech Communication and Technology (Eurospeech '97)
        Other links
        http://hdl.handle.net/2299/20977
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        School of Engineering and Technology
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