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This paper analyses the performance of several automatic speaker recognition systems using a real forensic database. The systems evaluated have been tested or are currently in use by forensic institutes. A comprehensive error analysis is performed in order to assess the behaviour of the individual systems on real casework. We further investigate compensation techniques aimed at minimizing the performance gap between laboratory development and application on real data. While unrestricted application of automatic systems in the forensic domain is still not a reality, our experiments suggest that automatic systems can be a valuable decision-support tool for the forensic examiner.
Text-Independent Speaker Recognition
Forensics
Speaker Recognition Corpora and Evaluation