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Frantisek Grézl
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Journal Articles
- 2017
- [j4]Radek Fér, Pavel Matejka, Frantisek Grézl, Oldrich Plchot, Karel Veselý, Jan Honza Cernocký:
Multilingually trained bottleneck features in spoken language recognition. Comput. Speech Lang. 46: 252-267 (2017) - 2012
- [j3]Thomas Hain, Lukás Burget, John Dines, Philip N. Garner, Frantisek Grézl, Asmaa El Hannani, Marijn Huijbregts, Martin Karafiát, Mike Lincoln, Vincent Wan:
Transcribing Meetings With the AMIDA Systems. IEEE Trans. Speech Audio Process. 20(2): 486-498 (2012) - [j2]Javier Tejedor, Michal Fapso, Igor Szöke, Jan Cernocký, Frantisek Grézl:
Comparison of methods for language-dependent and language-independent query-by-example spoken term detection. ACM Trans. Inf. Syst. 30(3): 18:1-18:34 (2012) - 2007
- [j1]Niko Brümmer, Lukás Burget, Jan Cernocký, Ondrej Glembek, Frantisek Grézl, Martin Karafiát, David A. van Leeuwen, Pavel Matejka, Petr Schwarz, Albert Strasheim:
Fusion of Heterogeneous Speaker Recognition Systems in the STBU Submission for the NIST Speaker Recognition Evaluation 2006. IEEE Trans. Speech Audio Process. 15(7): 2072-2084 (2007)
Conference and Workshop Papers
- 2018
- [c57]Martin Karafiát, Murali Karthick Baskar, Karel Veselý, Frantisek Grézl, Lukás Burget, Jan Cernocký:
Analysis of Multilingual Blstm Acoustic Model on Low and High Resource Languages. ICASSP 2018: 5789-5793 - [c56]Martin Karafiát, Murali Karthick Baskar, Igor Szöke, Vladimír Malenovský, Karel Veselý, Frantisek Grézl, Lukás Burget, Jan Cernocký:
BUT OpenSAT 2017 Speech Recognition System. INTERSPEECH 2018: 2638-2642 - [c55]Oldrich Plchot, Pavel Matejka, Ondrej Novotný, Sandro Cumani, Alicia Lozano-Diez, Josef Slavícek, Mireia Díez, Frantisek Grézl, Ondrej Glembek, Mounika Kamsali, Anna Silnova, Lukás Burget, Lucas Ondel, Santosh Kesiraju, Johan Rohdin:
Analysis of BUT-PT Submission for NIST LRE 2017. Odyssey 2018: 47-53 - [c54]Anna Silnova, Pavel Matejka, Ondrej Glembek, Oldrich Plchot, Ondrej Novotný, Frantisek Grézl, Petr Schwarz, Lukás Burget, Jan Cernocký:
BUT/Phonexia Bottleneck Feature Extractor. Odyssey 2018: 283-287 - 2017
- [c53]Murali Karthick Baskar, Martin Karafiát, Lukás Burget, Karel Veselý, Frantisek Grézl, Jan Cernocký:
Residual memory networks: Feed-forward approach to learn long-term temporal dependencies. ICASSP 2017: 4810-4814 - [c52]Martin Karafiát, Murali Karthick Baskar, Pavel Matejka, Karel Veselý, Frantisek Grézl, Lukás Burget, Jan Cernocký:
2016 BUT Babel System: Multilingual BLSTM Acoustic Model with i-Vector Based Adaptation. INTERSPEECH 2017: 719-723 - 2016
- [c51]Pavel Matejka, Ondrej Glembek, Ondrej Novotný, Oldrich Plchot, Frantisek Grézl, Lukás Burget, Jan Cernocký:
Analysis of DNN approaches to speaker identification. ICASSP 2016: 5100-5104 - [c50]Martin Karafiát, Lukás Burget, Frantisek Grézl, Karel Veselý, Jan Honza Cernocký:
Multilingual region-dependent transforms. ICASSP 2016: 5430-5434 - [c49]Ondrej Novotný, Pavel Matejka, Ondrej Glembek, Oldrich Plchot, Frantisek Grézl, Lukás Burget, Jan Honza Cernocký:
Analysis of the DNN-based SRE systems in multi-language conditions. SLT 2016: 199-204 - [c48]Frantisek Grézl, Martin Karafiát:
Boosting performance on low-resource languages by standard corpora: An analysis. SLT 2016: 629-636 - [c47]Martin Karafiát, Murali Karthick Baskar, Pavel Matejka, Karel Veselý, Frantisek Grézl, Jan Cernocký:
Multilingual BLSTM and speaker-specific vector adaptation in 2016 but babel system. SLT 2016: 637-643 - [c46]Frantisek Grézl, Ekaterina Egorova, Martin Karafiát:
Study of Large Data Resources for Multilingual Training and System Porting. SLTU 2016: 15-22 - [c45]Frantisek Grézl, Martin Karafiát:
Bottle-Neck Feature Extraction Structures for Multilingual Training and Porting. SLTU 2016: 144-151 - [c44]Anna Popková, Filip Povolný, Pavel Matejka, Ondrej Glembek, Frantisek Grézl, Jan Honza Cernocký:
Investigation of Bottle-Neck Features for Emotion Recognition. TSD 2016: 426-434 - 2015
- [c43]Roger Hsiao, Jeff Z. Ma, William Hartmann, Martin Karafiát, Frantisek Grézl, Lukás Burget, Igor Szöke, Jan Cernocký, Shinji Watanabe, Zhuo Chen, Sri Harish Reddy Mallidi, Hynek Hermansky, Stavros Tsakalidis, Richard M. Schwartz:
Robust speech recognition in unknown reverberant and noisy conditions. ASRU 2015: 533-538 - [c42]Radek Fér, Pavel Matejka, Frantisek Grézl, Oldrich Plchot, Jan Cernocký:
Multilingual bottleneck features for language recognition. INTERSPEECH 2015: 389-393 - [c41]Martin Karafiát, Frantisek Grézl, Lukás Burget, Igor Szöke, Jan Cernocký:
Three ways to adapt a CTS recognizer to unseen reverberated speech in BUT system for the ASpIRE challenge. INTERSPEECH 2015: 2454-2458 - 2014
- [c40]Martin Karafiát, Frantisek Grézl, Mirko Hannemann, Jan Cernocký:
But neural network features for spontaneous Vietnamese in BABEL. ICASSP 2014: 5622-5626 - [c39]Frantisek Grézl, Martin Karafiát, Karel Veselý:
Adaptation of multilingual stacked bottle-neck neural network structure for new language. ICASSP 2014: 7654-7658 - [c38]Igor Szöke, Lukás Burget, Frantisek Grézl, Jan Cernocký, Lucas Ondel:
Calibration and fusion of query-by-example systems - But SWS 2013. ICASSP 2014: 7849-7853 - [c37]Frantisek Grézl, Martin Karafiát:
Combination of multilingual and semi-supervised training for under-resourced languages. INTERSPEECH 2014: 820-824 - [c36]Martin Karafiát, Frantisek Grézl, Karel Veselý, Mirko Hannemann, Igor Szöke, Jan Cernocký:
BUT 2014 Babel system: analysis of adaptation in NN based systems. INTERSPEECH 2014: 3002-3006 - [c35]Frantisek Grézl, Ekaterina Egorova, Martin Karafiát:
Further investigation into multilingual training and adaptation of stacked bottle-neck neural network structure. SLT 2014: 48-53 - [c34]Martin Karafiát, Karel Veselý, Igor Szöke, Lukás Burget, Frantisek Grézl, Mirko Hannemann, Jan Cernocký:
But ASR system for BABEL Surprise evaluation 2014. SLT 2014: 501-506 - [c33]Frantisek Grézl, Martin Karafiát:
Adapting multilingual neural network hierarchy to a new language. SLTU 2014: 39-45 - 2013
- [c32]Damianos G. Karakos, Richard M. Schwartz, Stavros Tsakalidis, Le Zhang, Shivesh Ranjan, Tim Ng, Roger Hsiao, Guruprasad Saikumar, Ivan Bulyko, Long Nguyen, John Makhoul, Frantisek Grézl, Mirko Hannemann, Martin Karafiát, Igor Szöke, Karel Veselý, Lori Lamel, Viet Bac Le:
Score normalization and system combination for improved keyword spotting. ASRU 2013: 210-215 - [c31]Roger Hsiao, Tim Ng, Frantisek Grézl, Damianos G. Karakos, Stavros Tsakalidis, Long Nguyen, Richard M. Schwartz:
Discriminative semi-supervised training for keyword search in low resource languages. ASRU 2013: 440-445 - [c30]Frantisek Grézl, Martin Karafiát:
Semi-supervised bootstrapping approach for neural network feature extractor training. ASRU 2013: 470-475 - [c29]Martin Karafiát, Frantisek Grézl, Mirko Hannemann, Karel Veselý, Jan Cernocký:
BUT BABEL system for spontaneous Cantonese. INTERSPEECH 2013: 2589-2593 - [c28]Igor Szöke, Lukás Burget, Frantisek Grézl, Lucas Ondel:
BUT SWS 2013 - Massive Parallel Approach. MediaEval 2013 - 2012
- [c27]Pavel Matejka, Oldrich Plchot, Mehdi Soufifar, Ondrej Glembek, Luis Fernando D'Haro, Karel Veselý, Frantisek Grézl, Jeff Z. Ma, Spyros Matsoukas, Najim Dehak:
Patrol Team Language Identification System for DARPA RATS P1 Evaluation. INTERSPEECH 2012: 50-53 - [c26]Karel Veselý, Martin Karafiát, Frantisek Grézl, Milos Janda, Ekaterina Egorova:
The language-independent bottleneck features. SLT 2012: 336-341 - 2011
- [c25]Karel Veselý, Martin Karafiát, Frantisek Grézl:
Convolutive Bottleneck Network features for LVCSR. ASRU 2011: 42-47 - [c24]Frantisek Grézl, Martin Karafiát, Milos Janda:
Study of probabilistic and Bottle-Neck features in multilingual environment. ASRU 2011: 359-364 - [c23]Frantisek Grézl, Martin Karafiát:
Integrating Recent MLP Feature Extraction Techniques into TRAP Architecture. INTERSPEECH 2011: 1229-1232 - [c22]Hynek Boril, Frantisek Grézl, John H. L. Hansen:
Front-End Compensation Methods for LVCSR Under Lombard Effect. INTERSPEECH 2011: 1257-1260 - [c21]Frantisek Grézl:
The Role of Neural Network Size in TRAP/HATS Feature Extraction. TSD 2011: 315-322 - 2010
- [c20]Frantisek Grézl, Martin Karafiát:
Hierarchical neural net architectures for feature extraction in ASR. INTERSPEECH 2010: 1201-1204 - [c19]Karel Veselý, Lukás Burget, Frantisek Grézl:
Parallel training of neural networks for speech recognition. INTERSPEECH 2010: 2934-2937 - [c18]Igor Szöke, Frantisek Grézl, Jan Cernocký, Michal Fapso, Tomás Cipr:
Acoustic keyword spotter - optimization from end-user perspective. SLT 2010: 189-193 - [c17]Karel Veselý, Lukás Burget, Frantisek Grézl:
Parallel Training of Neural Networks for Speech Recognition. TSD 2010: 439-446 - 2009
- [c16]Frantisek Grézl, Martin Karafiát, Lukás Burget:
Investigation into bottle-neck features for meeting speech recognition. INTERSPEECH 2009: 2947-2950 - 2008
- [c15]Frantisek Grézl, Petr Fousek:
Optimizing bottle-neck features for lvcsr. ICASSP 2008: 4729-4732 - 2007
- [c14]Pavel Matejka, Lukás Burget, Petr Schwarz, Ondrej Glembek, Martin Karafiát, Frantisek Grézl, Jan Cernocký, David A. van Leeuwen, Niko Brummer, Albert Strasheim:
STBU System for the NIST 2006 Speaker Recognition Evaluation. ICASSP (4) 2007: 221-224 - [c13]Frantisek Grézl, Martin Karafiát, Stanislav Kontar, Jan Cernocký:
Probabilistic and Bottle-Neck Features for LVCSR of Meetings. ICASSP (4) 2007: 757-760 - [c12]Igor Szöke, Michal Fapso, Martin Karafiát, Lukás Burget, Frantisek Grézl, Petr Schwarz, Ondrej Glembek, Pavel Matejka, Jirí Kopecký, Jan Cernocký:
Spoken Term Detection System Based on Combination of LVCSR and Phonetic Search. MLMI 2007: 237-247 - [c11]Frantisek Grézl, Jan Cernocký:
TRAP-Based Techniques for Recognition of Noisy Speech. TSD 2007: 270-277 - 2006
- [c10]Andreas Stolcke, Frantisek Grézl, Mei-Yuh Hwang, Xin Lei, Nelson Morgan, Dimitra Vergyri:
Cross-Domain and Cross-Language Portability of Acoustic Features Estimated by Multilayer Perceptrons. ICASSP (1) 2006: 321-324 - [c9]Martin Karafiát, Frantisek Grézl, Petr Schwarz, Lukás Burget, Jan Cernocký:
Robust Heteroscedastic Linear Discriminant Analysis and LCRC Posterior Features in Meeting Data Recognition. MLMI 2006: 275-284 - 2005
- [c8]Qifeng Zhu, Barry Y. Chen, Frantisek Grézl, Nelson Morgan:
Improved MLP structures for data-driven feature extraction for ASR. INTERSPEECH 2005: 2129-2132 - [c7]Andreas Stolcke, Xavier Anguera, Kofi Boakye, Özgür Çetin, Frantisek Grézl, Adam Janin, Arindam Mandal, Barbara Peskin, Chuck Wooters, Jing Zheng:
Further Progress in Meeting Recognition: The ICSI-SRI Spring 2005 Speech-to-Text Evaluation System. MLMI 2005: 463-475 - 2004
- [c6]Frantisek Grézl, Martin Karafiát, Jan Cernocký:
TRAP based features for LVCSR of meting data. INTERSPEECH 2004: 437-440 - [c5]Petr Fousek, Frantisek Grézl, Hynek Hermansky, Petr Svojanovsky:
New nonsense syllables database - analyses and preliminary ASR experiments. INTERSPEECH 2004: 2749-2752 - [c4]Frantisek Grézl:
Combinations of TRAP Based Systems. TSD 2004: 323-330 - 2003
- [c3]Frantisek Grézl, Hynek Hermansky:
Local averaging and differentiating of spectral plane for TRAP-based ASR. INTERSPEECH 2003: 1017-1020 - [c2]Frantisek Grézl:
Local Time-Frequency Operators in TRAPs for Speech Recognition. TSD 2003: 269-274 - 2002
- [c1]André Gustavo Adami, Lukás Burget, Stéphane Dupont, Harinath Garudadri, Frantisek Grézl, Hynek Hermansky, Pratibha Jain, Sachin S. Kajarekar, Nelson Morgan, Sunil Sivadas:
Qualcomm-ICSI-OGI features for ASR. INTERSPEECH 2002: 21-24
Informal and Other Publications
- 2018
- [i1]Murali Karthick Baskar, Martin Karafiát, Lukás Burget, Karel Veselý, Frantisek Grézl, Jan Honza Cernocký:
Residual Memory Networks: Feed-forward approach to learn long temporal dependencies. CoRR abs/1808.01916 (2018)
Coauthor Index
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