| Recurrent neural network based language model. T Mikolov, M Karafiát, L Burget, J Cernocký, S Khudanpur Interspeech 2 (3), 1045-1048, 2010 | 7529 | 2010 |
| Extensions of recurrent neural network language model T Mikolov, S Kombrink, L Burget, J Černocký, S Khudanpur 2011 IEEE international conference on acoustics, speech and signal …, 2011 | 1591 | 2011 |
| Extensions of recurrent neural network language model T Mikolov, S Kombrink, L Burget, J Černocký, S Khudanpur 2011 IEEE international conference on acoustics, speech and signal …, 2011 | 1591 | 2011 |
| Strategies for training large scale neural network language models T Mikolov, A Deoras, D Povey, L Burget, J Černocký 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 196-201, 2011 | 677 | 2011 |
| Probabilistic and bottle-neck features for LVCSR of meetings F Grézl, M Karafiát, S Kontár, J Cernocky 2007 IEEE international conference on acoustics, speech and signal …, 2007 | 470 | 2007 |
| Empirical Evaluation and Combination of Advanced Language Modeling Techniques. T Mikolov, A Deoras, S Kombrink, L Burget, J Cernocký Interspeech, 605-608, 2011 | 392 | 2011 |
| Rnnlm-recurrent neural network language modeling toolkit T Mikolov, S Kombrink, A Deoras, L Burget, J Cernocky Proc. of the 2011 ASRU Workshop, 196-201, 2011 | 377 | 2011 |
| Fusion of heterogeneous speaker recognition systems in the STBU submission for the NIST speaker recognition evaluation 2006 N Brummer, L Burget, J Cernocky, O Glembek, F Grezl, M Karafiat, ... IEEE Transactions on Audio, Speech, and Language Processing 15 (7), 2072-2084, 2007 | 320 | 2007 |
| Bi-modal person recognition on a mobile phone: using mobile phone data C McCool, S Marcel, A Hadid, M Pietikäinen, P Matejka, J Cernocký, ... 2012 IEEE international conference on multimedia and expo workshops, 635-640, 2012 | 295 | 2012 |
| Improved feature processing for deep neural networks. SP Rath, D Povey, K Veselý, J Cernocký Interspeech, 109-113, 2013 | 266 | 2013 |
| Hierarchical structures of neural networks for phoneme recognition P Schwarz, P Matejka, J Cernocky 2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006 | 257 | 2006 |
| Comparison of keyword spotting approaches for informal continuous speech. I Szöke, P Schwarz, P Matejka, L Burget, M Karafiát, M Fapso, J Cernocký Interspeech, 633-636, 2005 | 245 | 2005 |
| Full-covariance UBM and heavy-tailed PLDA in i-vector speaker verification P Matějka, O Glembek, F Castaldo, MJ Alam, O Plchot, P Kenny, L Burget, ... 2011 IEEE international conference on acoustics, speech and signal …, 2011 | 230 | 2011 |
| Subword language modeling with neural networks T Mikolov, I Sutskever, A Deoras, HS Le, S Kombrink, J Cernocky preprint (http://www. fit. vutbr. cz/imikolov/rnnlm/char. pdf) 8 (67), 2012 | 225 | 2012 |
| Analysis of feature extraction and channel compensation in a GMM speaker recognition system L Burget, P Matejka, P Schwarz, O Glembek, JH Cernocky IEEE Transactions on Audio, Speech, and Language Processing 15 (7), 1979-1986, 2007 | 224 | 2007 |
| Phonotactic language identification using high quality phoneme recognition. P Matejka, P Schwarz, J Cernocký, P Chytil Interspeech, 2237-2240, 2005 | 180 | 2005 |
| Neural network based language models for highly inflective languages T Mikolov, J Kopecky, L Burget, O Glembek 2009 IEEE international conference on acoustics, speech and signal …, 2009 | 161 | 2009 |
| Speakerbeam: Speaker aware neural network for target speaker extraction in speech mixtures K Žmolíková, M Delcroix, K Kinoshita, T Ochiai, T Nakatani, L Burget, ... IEEE Journal of Selected Topics in Signal Processing 13 (4), 800-814, 2019 | 152 | 2019 |
| Towards lower error rates in phoneme recognition P Schwarz, P Matějka, J Černocký International Conference on Text, Speech and Dialogue, 465-472, 2004 | 143 | 2004 |
| Analysis of DNN approaches to speaker identification P Matějka, O Glembek, O Novotný, O Plchot, F Grézl, L Burget, ... 2016 IEEE international conference on acoustics, speech and signal …, 2016 | 129 | 2016 |
