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Replicate Mismatch between Test and Background/Development Databases: The Effect on the Performance of Likelihood Ratio-based Forensic Voice Comparison

This study reports the extent that mismatch in within-speaker replicate numbers between test and background/development databases causes an influence on the performance of a forensic voice comparison (FVC) system. FVC tests are repeatedly carried out using the Monte Carlo simulation technique with temporal MFCC features and the Multivariate Kernel Density Likelihood Ratio Procedure. The performance of the FVC system is assessed in terms of its validity (Cllr) and reliability (CI) under various mismatch conditions. It is shown in this study that a matched replicate number across the three databases yields the best result in terms of Cllr. However, the performance of CI improves as the replicate number of the test database becomes smaller.