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pro vyhledávání: '"Man Hung"'
Publikováno v:
IEEE Transactions on Audio, Speech, and Language Processing. 17:187-197
In language identification and other speech applications, discriminatively trained models often outperform nondiscriminative models trained with the maximum-likelihood criterion. For instance, discriminative Gaussian mixture models (GMMs) are typical
Publikováno v:
INTERSPEECH
Hong Kong University of Science and Technology
Hong Kong University of Science and Technology
Publikováno v:
Odyssey
In this paper, we explore the use of the Support Vector Machines (SVMs) to learn a discriminatively trained n-gram model for automatic language identification. Our focus is on practical considerations that make SVM technology more effective. We addre