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Martin Karafiat
Martin Karafiat
Speech@FIT BUT
Verified email at fit.vutbr.cz - Homepage
Title
Cited by
Cited by
Year
Recurrent neural network based language model.
T Mikolov, M Karafiát, L Burget, J Cernocký, S Khudanpur
Interspeech 2 (3), 1045-1048, 2010
77482010
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
4722007
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
3822011
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
3222007
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
2532012
Recurrent Neural Network Based Language Modeling in Meeting Recognition.
S Kombrink, T Mikolov, M Karafiát, L Burget
Interspeech 11, 2877-2880, 2011
2522011
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
2472005
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
2452010
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
2082010
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
1832011
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
1802012
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
1502007
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
1342011
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
1332018
J. ˇCernocky, and S
T Mikolov, M Karafiát, L Burget
Khudanpur,“Recurrent neural network based language model,” in Eleventh …, 2010
1222010
Convolutive bottleneck network features for LVCSR
K Veselý, M Karafiát, F Grézl
2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 42-47, 2011
1152011
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
1132014
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
1042013
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
912011
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
902009
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