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    THE HKCUPU SYSTEM FOR THE NIST 2010 SPEAKER RECOGNITION EVALUATION

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    This paper presents the HKCUPU speaker recognition system submitted to NIST 2010 speaker recognition evaluation (SRE). The system comprises five subsystems, each with different acoustic features, session-variability reduction methods, speaker modeling and scoring methods and classifiers. This paper reports the results of individual and fusion systems for the core test and highlights the improvements made by our newly proposed JFA-Fishervoice (FSH) subsystem. Results show that FSH outperforms JFA when its projection matrix is channeldependent (telephone or microphone) and that FSH is complementary to other state-of-the-art techniques. It was also found that VAD is an important pre-processing step for interview speech. Index Terms β€” speaker recognition, factor analysis, Fishervoice, discriminative models, NIST SRE 2010
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