Copyright © 2005 Published by Elsevier Ltd.
NIST and NFI-TNO evaluations of automatic speaker recognition
Received 1 November 2004;
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Abstract
In the past years, several text-independent speaker recognition evaluation campaigns have taken place. This paper reports on results of the NIST evaluation of 2004 and the NFI-TNO forensic speaker recognition evaluation held in 2003, and reflects on the history of the evaluation campaigns. The effects of speech duration, training handsets, transmission type, and gender mix show expected behaviour on the DET curves. New results on the influence of language show an interesting dependence of the DET curves on the accent of speakers. We also report on a number of statistical analysis techniques that have recently been introduced in the speaker recognition community, as well as a new application of the analysis of deviance analysis. These techniques are used to determine that the two evaluations held in 2003, by NIST and NFI-TNO, are of statistically different difficulty to the speaker recognition systems.
Article Outline
- 1. Introduction
- 2. Evaluation paradigm
- 3. Statistics
- 3.1. Basic binomial quantities
- 3.2. Error propagation
- 3.3. DET confidence bandwidth
- 3.4. Comparisons between systems
- 3.5. Analysis of variance
- 4. Designs of the NFI-TNO and NIST 2004 evaluations
- 4.1. NFI-TNO evaluation
- 4.2. NIST 2004 evaluation
- 5. Results and analysis of the NFI-TNO and NIST evaluations
- 5.1. Overall results
- 5.2. Effect of training and test duration
- 5.2.1. NFI-TNO effect of duration
- 5.2.2. NIST 2004 effect of duration
- 5.3. Effect of number of training handsets
- 5.4. Language effects
- 5.4.1. NFI-TNO language effects
- 5.4.2. NIST language effect
- 5.5. Effect of transmission type for NIST 2004
- 5.6. Summed channel data for NIST 2004
- 5.6.1. Gender mix
- 5.7. Comparison of evaluations
- 6. Summary and conclusions
- Acknowledgements
- References







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