Exploring GMM-derived Features for Unsupervised Adaptation of Deep Neural Network Acoustic Models - researchr publication authors

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Natalia A. Tomashenko, Yuri Y. Khokhlov, Anthony Larcher, Yannick Estève. Exploring GMM-derived Features for Unsupervised Adaptation of Deep Neural Network Acoustic Models. In Andrey Ronzhin, Rodmonga Potapova, Géza Németh, editors, Speech and Computer - 18th International Conference, SPECOM 2016, Budapest, Hungary, August 23-27, 2016, Proceedings. Volume 9811 of Lecture Notes in Computer Science, pages 304-311, Springer, 2016. [doi]

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