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Project DBOX
Name: DBOX

Publications of DBOX sorted by recency
Towards utterance-based neural network adaptation in acoustic modeling, Ivan Himawan, Petr Motlicek, Marc Ferras and Srikanth Madikeri, in: IEEE Automatic Speech Recognition and Understanding Workshop, pages 289-295, 2015
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Exploiting foreign resources for DNN-based ASR, Petr Motlicek, David Imseng, Blaise Potard, Philip N. Garner and Ivan Himawan, in: EURASIP Journal on Audio, Speech, and Music Processing(2015:17), 2015
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DNN-based Speech Synthesis: Importance of input features and training data, Alexandros Lazaridis, Blaise Potard and Philip N. Garner, in: International Conference on Speech and Computer , SPECOM, pages 193-200, Springer Berlin Heidelberg, 2015
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Development of Bilingual ASR System for MediaParl Corpus, Petr Motlicek, David Imseng, Milos Cernak and Namhoon Kim, in: Proceedings of the 15th Annual Conference of the International Speech Communication Association (Interspeech 2014), Singapore, ISCA, 2014
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The DBOX Corpus Collection of Spoken Human-Human and Human-Machine Dialogues, Volha Petukhova, Martin Gropp, Dietrich Klakow, Anna Schmidt, Gregor Eigner, Mario Topf, Stefan Srb, Petr Motlicek, Blaise Potard, John Dines, O. Deroo, Ronny Egeler, Uwe Meinz and Steffen Liersch, in: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), Reykjavik, Iceland, European Language Resources Association (ELRA), 2014
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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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Exploiting un-transcribed foreign data for speech recognition in well-resourced languages, David Imseng, Blaise Potard, Petr Motlicek, Alexandre Nanchen and Hervé Bourlard, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, IT, pages 2322 - 2326, IEEE, 2014
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Crosslingual Tandem-SGMM: Exploiting Out-Of-Language Data for Acoustic Model and Feature Level Adaptation, Petr Motlicek, David Imseng and Philip N. Garner, in: Proceedings of the 14th Annual Conference of the International Speech Communication Association (Interspeech 2013), ISCA - International Speech Communication Association, Lyon, France, pages 510-514, ISCA, 2013
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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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