Recurrent neural network based language model. T Mikolov, M Karafiát, L Burget, J Cernocký, S Khudanpur Interspeech 2 (3), 1045-1048, 2010 | 7889 | 2010 |
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 | 474 | 2007 |
The subspace Gaussian mixture model—A structured model for speech recognition D Povey, L Burget, M Agarwal, P Akyazi, F Kai, A Ghoshal, O Glembek, ... Computer Speech & Language 25 (2), 404-439, 2011 | 387 | 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 | 324 | 2007 |
Recurrent Neural Network Based Language Modeling in Meeting Recognition. S Kombrink, T Mikolov, M Karafiát, L Burget Interspeech 11, 2877-2880, 2011 | 258 | 2011 |
The language-independent bottleneck features K Veselý, M Karafiát, F Grézl, M Janda, E Egorova 2012 IEEE Spoken Language Technology Workshop (SLT), 336-341, 2012 | 254 | 2012 |
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 | 250 | 2005 |
Subspace Gaussian mixture models for speech recognition D Povey, L Burget, M Agarwal, P Akyazi, K Feng, A Ghoshal, O Glembek, ... 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 248 | 2010 |
Multilingual acoustic modeling for speech recognition based on subspace Gaussian mixture models L Burget, P Schwarz, M Agarwal, P Akyazi, K Feng, A Ghoshal, ... 2010 IEEE international conference on acoustics, speech and signal …, 2010 | 208 | 2010 |
Generating exact lattices in the WFST framework D Povey, M Hannemann, G Boulianne, L Burget, A Ghoshal, M Janda, ... 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 185 | 2012 |
Simplification and optimization of i-vector extraction O Glembek, L Burget, P Matějka, M Karafiát, P Kenny 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 184 | 2011 |
The AMI system for the transcription of speech in meetings T Hain, L Burget, J Dines, G Garau, V Wan, M Karafiat, J Vepa, M Lincoln 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 150 | 2007 |
Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling J Cho, MK Baskar, R Li, M Wiesner, SH Mallidi, N Yalta, M Karafiat, ... 2018 IEEE Spoken Language Technology Workshop (SLT), 521-527, 2018 | 137 | 2018 |
Transcribing meetings with the AMIDA systems T Hain, L Burget, J Dines, PN Garner, F Grézl, A El Hannani, M Huijbregts, ... IEEE Transactions on Audio, Speech, and Language Processing 20 (2), 486-498, 2011 | 135 | 2011 |
J. ˇCernocky, and S T Mikolov, M Karafiát, L Burget Khudanpur,“Recurrent neural network based language model,” in Eleventh …, 2010 | 124 | 2010 |
Convolutive bottleneck network features for LVCSR K Veselý, M Karafiát, F Grézl 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 42-47, 2011 | 116 | 2011 |
Adaptation of multilingual stacked bottle-neck neural network structure for new language F Grézl, M Karafiát, K Veselý 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 113 | 2014 |
Score normalization and system combination for improved keyword spotting D Karakos, R Schwartz, S Tsakalidis, L Zhang, S Ranjan, T Ng, R Hsiao, ... 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 210-215, 2013 | 105 | 2013 |
iVector-based discriminative adaptation for automatic speech recognition M Karafiát, L Burget, P Matějka, O Glembek, J Černocký 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 152-157, 2011 | 91 | 2011 |
Investigation into bottle-neck features for meeting speech recognition F Grézl, M Karafiát, L Burget Tenth annual conference of the international speech communication association, 2009 | 91 | 2009 |