Speaker vectors from subspace Gaussian mixture model as complementary features for language identification - researchr publication authors

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Oldrich Plchot, Martin Karafiát, Niko Brümmer, Ondrej Glembek, Pavel Matejka, Edward de Villiers, Jan Cernocký. Speaker vectors from subspace Gaussian mixture model as complementary features for language identification. In Haizhou Li, Bin Ma, Kong-Aik Lee, editors, Odyssey 2012: The Speaker and Language Recognition Workshop, Singapore, June 25-28, 2012. pages 330-333, ISCA, 2012. [doi]

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