Výzkum užitečný pro společnost.
Project Details
Meeting assistant (MINT)
Project Period: 1. 10. 2014 - 31. 12. 2017
Project Type: grant
Code: TA04011311
Agency: Technology Agency of the Czech Republic
Program: Program aplikovaného výzkumu a experimentálního vývoje ALFA
meeting; human-human communication; speech recognition; machine translation; data mining; summarization; weak signal detection; meeting assistant
The goal of this project is research and development in the field of meeting audio processing (including meetings, team briefings, customer
relations, etc.) leading to creation of prototype of an intelligent meeting assistant helping during a meeting (on-line), with the processing of
meeting minutes (off-line), and with the following storage and sharing of meeting-related materials
Glembek Ondřej, Ing., Ph.D. (UPGM FIT VUT) , team leader
Szőke Igor, Ing., Ph.D. (UPGM FIT VUT) , team leader
Žižka Josef, Ing. (UPGM FIT VUT) , team leader
Burget Lukáš, doc. Ing., Ph.D. (UPGM FIT VUT)
Novotný Ondřej, Ing., Ph.D. (UPGM FIT VUT)
Silnova Anna, MSc., Ph.D. (UPGM FIT VUT)
Skácel Miroslav, Ing. (UPGM FIT VUT)
Ščavnický Tomáš, Bc. (FIT VUT)
2017
- KARAFIÁT Martin, BASKAR Murali K., MATĚJKA Pavel, VESELÝ Karel, GRÉZL František, BURGET Lukáš and ČERNOCKÝ Jan. 2016 BUT Babel system: Multilingual BLSTM acoustic model with i-vector based adaptation. In: Proceedings of Interspeech 2017. Stockholm: International Speech Communication Association, 2017, pp. 719-723. ISSN 1990-9772. Detail
- BENEŠ Karel, BASKAR Murali K. and BURGET Lukáš. Residual Memory Networks in Language Modeling: Improving the Reputation of Feed-Forward Networks. In: Proceedings of Interspeeech 2017. Stockholm: International Speech Communication Association, 2017, pp. 284-288. ISSN 1990-9772. Detail
- VESELÝ Karel, BURGET Lukáš and ČERNOCKÝ Jan. Semi-supervised DNN training with word selection for ASR. In: Proceedings of Interspeech 2017. Stockholm: International Speech Communication Association, 2017, pp. 3687-3691. ISSN 1990-9772. Detail
2016
- GRÉZL František and KARAFIÁT Martin. Boosting Performance on Low-resource Languages by Standard Corpora: AN ANALYSIS. In: Proceeding of SLT 2016. San Diego: IEEE Signal Processing Society, 2016, pp. 629-636. ISBN 978-1-5090-4903-5. Detail
- GRÉZL František and KARAFIÁT Martin. Bottle-Neck Feature Extraction Structures for Multilingual Training and Porting. In: Procedia Computer Science. Yogyakarta: Elsevier Science, 2016, pp. 144-151. ISSN 1877-0509. Detail
- ŽMOLÍKOVÁ Kateřina, KARAFIÁT Martin, VESELÝ Karel, DELCROIX Marc, WATANABE Shinji, BURGET Lukáš and ČERNOCKÝ Jan. Data selection by sequence summarizing neural network in mismatch condition training. In: Proceedings of Interspeech 2016. San Francisco: International Speech Communication Association, 2016, pp. 2354-2358. ISBN 978-1-5108-3313-5. Detail
- POPKOVÁ Anna, POVOLNÝ Filip, MATĚJKA Pavel, GLEMBEK Ondřej, GRÉZL František and ČERNOCKÝ Jan. Investigation of Bottle-Neck Features for Emotion Recognition. In: 19th International Conference, TSD 2016, Brno , Czech Republic, September 12-16, 2016, Proceedings. Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, vol. 9924. Brno: International Speech Communication Association, 2016, pp. 426-434. ISSN 0302-9743. Detail
- KARAFIÁT Martin, BASKAR Murali K., MATĚJKA Pavel, VESELÝ Karel, GRÉZL František and ČERNOCKÝ Jan. Multilingual BLSTM and Speaker-Specific Vector Adaptation in 2016 BUT BABEL SYSTEM. In: Proceedings of SLT 2016. San Diego: IEEE Signal Processing Society, 2016, pp. 637-643. ISBN 978-1-5090-4903-5. Detail
- KARAFIÁT Martin, BURGET Lukáš, GRÉZL František, VESELÝ Karel and ČERNOCKÝ Jan. Multilingual Region-Dependent Transforms. In: Proceedings of the 41th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), 2016. Shanghai: IEEE Signal Processing Society, 2016, pp. 5430-5434. ISBN 978-1-4799-9988-0. Detail
- EGOROVA Ekaterina and SERRANO Jordi Lugue. Semi-Supervised Training of Language Model on Spanish Conversational Telephone Speech Data. In: Procedia Computer Science. Yogyakarta: Elsevier Science, 2016, pp. 114-120. ISSN 1877-0509. Detail
- VESELÝ Karel, WATANABE Shinji, ŽMOLÍKOVÁ Kateřina, KARAFIÁT Martin, BURGET Lukáš and ČERNOCKÝ Jan. Sequence Summarizing Neural Network for Speaker Adaptation. In: Proceedings of the 41th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), 2016. Shanghai: IEEE Signal Processing Society, 2016, pp. 5315-5319. ISBN 978-1-4799-9988-0. Detail
- GRÉZL František, EGOROVA Ekaterina and KARAFIÁT Martin. Study of Large Data Resources for Multilingual Training and System Porting. In: Procedia Computer Science. Yogyakarta: Elsevier Science, 2016, pp. 15-22. ISSN 1877-0509. Detail
- ONDEL Yang Lucas Antoine Francois, BURGET Lukáš and ČERNOCKÝ Jan. Variational Inference for Acoustic Unit Discovery. In: Procedia Computer Science. Yogyakarta: Elsevier Science, 2016, pp. 80-86. ISSN 1877-0509. Detail
2015
- SKÁCEL Miroslav and SZŐKE Igor. BUT QUESST 2015 System Description. In: CEUR Workshop Proceedings. Wurzen: CEUR-WS.org, 2015, pp. 1-3. ISSN 1613-0073. Detail
- PEŠÁN Jan, BURGET Lukáš, HEŘMANSKÝ Hynek and VESELÝ Karel. DNN derived filters for processing of modulation spectrum of speech. In: Proceedings of Interspeech 2015. Dresden: International Speech Communication Association, 2015, pp. 1908-1911. ISBN 978-1-5108-1790-6. ISSN 1990-9772. Detail
- MOTLÍČEK Petr, DEY Subhadeep, MADIKERI Srikanth and BURGET Lukáš. Employment of Subspace Gaussian Mixture Models in Speaker Recognition. In: Proceedings of 2015 IEEE International Conference on Acoustics, Speech and Signal Processing. South Brisbane, Queensland: IEEE Signal Processing Society, 2015, pp. 4445-4449. ISBN 978-1-4673-6997-8. Detail
- KARAFIÁT Martin, GRÉZL František, BURGET Lukáš, SZŐKE Igor and ČERNOCKÝ Jan. Three ways to adapt a CTS recognizer to unseen reverberated speech in BUT system for the ASpIRE challenge. In: Proceedings of Interspeech 2015. Dresden: International Speech Communication Association, 2015, pp. 2454-2458. ISBN 978-1-5108-1790-6. ISSN 1990-9772. Detail
- HEŘMANSKÝ Hynek, BURGET Lukáš, COHEN Jordan, DUPOUX Emmanuel, FELDMAN Naomi, GODFREY John, KHUDANPUR Sanjeev, MACIEJEWSKI Matthew, MALLIDI Sri Harish, MENON Anjali, OGAWA Tetsuji, PEDDINTI Vijayaditya, ROSE Richard, STERN Richard, WIESNER Matthew and VESELÝ Karel. Towards Machines That Know When They Do Not Know: Summary of Work Done at 2014 FREDERICK JELINEK MEMORIAL WORKSHOP. In: Proceedings of 2015 IEEE International Conference on Acoustics, Speech and Signal Processing. South Brisbane, Queensland: IEEE Signal Processing Society, 2015, pp. 5009-5013. ISBN 978-1-4673-6997-8. Detail