A text-dependent i-vector extraction scheme and a lexicon-based binary vector (L-vector) representation are proposed to improve the performance of text-dependent speaker verification.An utterance used for enrollment or test is represented by these two vectors.An improved cosine distance kernel combining i-vector and L-vector is constructed to discriminate both speaker identity and lexical (or text) diversity with back-end support vector machine(SVM).Experiments are conducted on RSR 2015 Corpus

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... art 1 and part 2.The results indicate that at most 30% improvement can be obtained compared with traditional i-vector baseline.