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Score Normalization for Text-Independent Speaker Verification Systems

✍ Scribed by Roland Auckenthaler; Michael Carey; Harvey Lloyd-Thomas

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
295 KB
Volume
10
Category
Article
ISSN
1051-2004

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✦ Synopsis

This paper discusses several aspects of score normalization for textindependent speaker verification. The theory of score normalization is explained using Bayes' theorem and detection error trade-off plots. Based on the theory, the world, cohort, and zero normalization techniques are explained. A novel normalization technique, test normalization, is introduced. Experiments showed significant improvements for this new technique compared to the standard techniques. Finally, there is a discussion of the use of additional knowledge to further improve the normalization methods. Here, the test normalization method is extended to use knowledge of the handset type.

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✍ Guillaume Gravier; Jamal Kharroubi; GΓ©rard Chollet πŸ“‚ Article πŸ“… 2000 πŸ› Elsevier Science 🌐 English βš– 164 KB

Recent research on text-independent speaker verification systems has shown that prior knowledge of some source of variability can be used for normalization in order to improve the performance of the systems. In particular, it has been observed that the problem of the handset microphone mismatch betw