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In recent years, there have been significant advances in the field of speaker recognition that has resulted in very robust recognition systems. The primary focus of many recent developments have shifted to the problem of recognizing speakers in adverse conditions, e.g in the presence of noise/reverberation. In this paper, we present the UMD-JHU speaker recognition system applied on the NIST 2010 SRE task. The novel aspects of our systems are: 1) Improved performance on trials involvingdoi:10.1109/icassp.2012.6288852 dblp:conf/icassp/Garcia-RomeroZZSLGTNSMMJRMEHSD12 fatcat:aobi62ffgjclpigqiiyfknaq5q