BUT language recognition system for NIST 2007 evaluations

This paper describes Brno University of Technology (BUT) system for 2007 NIST Language recognition (LRE) evaluation. The system is a fusion of 4 acoustic and 9 phonotactic subsystems. We have investigated several new topics such as discriminatively trained language models in phonotactic systems, and eigen-channel adaptation in model and feature domain in acoustic systems. We also point out the importance of calibration and fusion. All results are presented on NIST 2007 LRE data.

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