Spoken language identification using score vector modeling and support vector machine

Abstract

The support vector machine (SVM) framework based on generalized linear discriminate sequence (GLDS) kernel has been shown effective and widely used in language identification tasks. In this paper, in order to compensate the distortions due to inter-speaker variability within the same language and solve the practical limitation of computer memory requested… (More)

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