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From the results of the NIST speaker recognition evaluation in resent years, speaker recognition systems which are mainly developed based on English training data suffer the language gap problem, namely, the performance of non-English trails is much worse than that of English trails. This problem is addressed in this paper. Based on the conventional joint factor analysis model, we enrolled in the...
The negative effect of the session variability has become more and more severe for the performance of the speaker verification system. This paper discusses the eigenchannel compensation and investigates the symmetric scoring method to diminish the session variability and further enhance the performance. Experiments were conducted on the core tests of the 2006 and 2008 speaker recognition evaluation...
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