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Journal Articles
- 2017
[j1]Jan Vanek
, Josef Michalek, Josef Psutka:
A GPU-Architecture Optimized Hierarchical Decomposition Algorithm for Support Vector Machine Training. IEEE Trans. Parallel Distributed Syst. 28(12): 3330-3343 (2017)
Conference and Workshop Papers
- 2024
- [c6]Marie Kunesová, Jan Lehecka, Josef Michálek, Jindrich Matousek, Jan Svec:
Zero-shot Out-of-domain is No Joke: Lessons Learned in the VoiceMOS 2023 MOS Prediction Challenge. INTERSPEECH 2024 - 2023
- [c5]Marie Kunesová, Jindrich Matousek, Jan Lehecka, Jan Svec, Josef Michálek, Daniel Tihelka, Martin Bulín, Zdenek Hanzlícek, Markéta Rezácková:
Ensemble of Deep Neural Network Models for MOS Prediction. ICASSP 2023: 1-5 - 2019
- [c4]Jan Vanek, Josef Michálek, Josef Psutka:
Tuning of Acoustic Modeling and Adaptation Technique for a Real Speech Recognition Task. SLSP 2019: 235-245 - 2018
- [c3]Jan Vanek, Josef Michálek, Jan Zelinka, Josef Psutka:
A Comparison of Adaptation Techniques and Recurrent Neural Network Architectures. SLSP 2018: 79-90 - [c2]Jan Vanek, Josef Michálek, Josef Psutka:
Recurrent DNNs and Its Ensembles on the TIMIT Phone Recognition Task. SPECOM 2018: 728-736 - [c1]Josef Michálek, Jan Vanek:
A Survey of Recent DNN Architectures on the TIMIT Phone Recognition Task. TSD 2018: 436-444
Informal and Other Publications
- 2018
- [i4]Jan Vanek, Josef Michalek, Josef Psutka:
Recurrent DNNs and its Ensembles on the TIMIT Phone Recognition Task. CoRR abs/1806.07186 (2018) - [i3]Josef Michalek, Jan Vanek:
A Survey of Recent DNN Architectures on the TIMIT Phone Recognition Task. CoRR abs/1806.07974 (2018) - [i2]Jan Vanek, Josef Michalek, Jan Zelinka, Josef Psutka:
A Comparison of Adaptation Techniques and Recurrent Neural Network Architectures. CoRR abs/1807.06441 (2018) - 2017
- [i1]Jan Vanek, Josef Michalek, Josef Psutka:
A Comparison of Support Vector Machines Training GPU-Accelerated Open Source Implementations. CoRR abs/1707.06470 (2017)
Coauthor Index
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