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Daniel Povey
First name(s): Daniel
Last name(s): Povey
Email: dpovey@xiaomi.com
Institute: Xiaomi Corporation, Beijing, China

Publications of Daniel Povey sorted by journal and type

Publications of type Idiap-RR


2020


2013


2012


In Proceedings of Interspeech 2020 (2020)


Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (2014)

Multilingual Deep Neural Network based Acoustic Modeling For Rapid Language Adaptation, Ngoc Thang Vu, David Imseng, Daniel Povey, Petr Motlicek, Tanja Schultz and Hervé Bourlard, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, pages 7639-7643, IEEE, 2014
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The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2013)

FEATURE AND SCORE LEVEL COMBINATION OF SUBSPACE GAUSSIANS IN LVCSR TASK, Petr Motlicek, Daniel Povey and Martin Karafiat, in: The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), IEEE, Vancouver, BC, Canada, pages 7604-7608, 2013
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Proceedings of 2012 IEEE International Conference on Acoustics, Speech and Signal Processing. (2012)

Generating Exact Lattices in The WFST Framework, Daniel Povey, Mirko Hannemann, Gilles Boulianne, Lukas Burget, Arnab Ghoshal, Milos Janda, Martin Karafiat, Stefan Kombrink, Petr Motlicek, Yanmin Qian, Korbinian Riedhammer, Karel Vesely and Ngoc Thang Vu, in: Proceedings of 2012 IEEE International Conference on Acoustics, Speech and Signal Processing., The 37th International Conference on Acoustics, Speech, and Signal Processing, Kyoto, JP, Kyoto, Japan, pages 4213-4216, IEEE Signal Processing Societ, 2012
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IEEE 2011 Workshop on Automatic Speech Recognition and Understanding (2011)

The Kaldi Speech Recognition Toolkit, Daniel Povey, Arnab Ghoshal, Gilles Boulianne, Lukas Burget, Ondrej Glembek, Nagendra Goel, Mirko Hannemann, Petr Motlicek, Yanmin Qian, Petr Schwarz, Jan Silovsky, Georg Stemmer and Karel Vesely, in: IEEE 2011 Workshop on Automatic Speech Recognition and Understanding, Hilton Waikoloa Village, Big Island, Hawaii, US, IEEE Signal Processing Society, 2011
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