Abstract:Mismatch between enrollment and test conditions causes serious performance degradation on speaker recognition systems. This paper presents a statistics decomposition (SD) approach to solve this problem. This approach is based on the normalized likelihood (NL) scoring framework, and is theoretically optimal if the statistics on both the enrollment and test conditions are accurate. A comprehensive experimental study was conducted on three datasets with different types of mismatch:(1) physical channel mismatch, (… Show more
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