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Ing. Lukáš Matějů, Ph.D.

Ing. Lukáš Matějů, Ph.D. QR VCARD
LinePositionDepartmentOffice number
+420 48535 3037Postgradual StudentInstitute of Information Technology and ElectronicsA02023

Publications

  1. L. Matějů, P. Červa, J. Žďánský, An Approach to Online Speaker Change Point Detection Using DNNs and WFSTs, Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, Austria, ISCA, 1, p. 649-653, 5 pages, ISSN: 2308457X, 2019
  2. R. Šafařík, L. Matějů, Automatic Development of ASR System for an Under-Resourced Language, 41st International Conference on Telecommunications and Signal Processing (TSP), Řecko, IEEE, ISBN: 978-153864695-3, p. 100-103, 4 pages, 2018
  3. R. Šafařík, L. Matějů, L. Weingartová, The Influence of Errors in Phonetic Annotations on Performance of Speech Recognition System, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 21st International Conference on Text, Speech, and Dialogue, TSD 2018, Springer Verlag, 1, ISBN: 978-303000793-5, p. 419-427, 9 pages, ISSN: 0302-9743, 2018
  4. L. Matějů, P. Červa, J. Žďánský, R. Šafařík, Using Deep Neural Networks for Identification of Slavic Languages from Acoustic Signal, Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, Indie, ISCA, 1, p. 1803-1807, 5 pages, ISSN: 2308-457X, 2018
  5. L. Matějů, P. Červa, J. Žďánský, Investigation into the Use of WFSTs and DNNs for Speech Activity Detection in Broadcast Data Transcription, Communications in Computer and Information Science, Spolková republika Německo, Springer Verlag, ISBN: 978-331967875-7, p. 341-358, 18 pages, ISSN: 1865-0929, 2017
  6. L. Matějů, P. Červa, J. Žďánský, J. Málek, Speech Activity Detection in Online Broadcast Transcription Using Deep Neural Networks and Weighted Finite State Transducers, 2017 IEEE IICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedingsnternational Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017, USA, Institute of Electrical and Electronics Engineers Inc., ISBN: 978-1-5090-4117-6, p. 5460-5464, 5 pages, ISSN: 1520-6149, 2017
  7. R. Šafařík, L. Matějů, The Impact of Inaccurate Phonetic Annotations on Speech Recognition Performance, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Německo, Springer Verlag, ISBN: 9783319642055, p. 402-410, 9 pages, ISSN: 0302-9743, 2017
  8. M. Boháč, L. Matějů, M. Rott, R. Šafařík, Automatic Syllabification and Syllable Timing of Automatically Recognized Speech - for Czech, Proc. of the 19th International Conference of Text, Speech, and Dialogue - TSD 2016, Switzerland, Springer International Publishing, ISBN: 978-3-319-45509-9, p. 540-547, 8 pages, ISSN: 0302-9743, 2016
  9. R. Šafařík, L. Matějů, Impact of phonetic annotation precision on automatic speech recognition systems, 2016 39th International Conference on Telecommunications and Signal Processing, TSP 2016, Rakousko, Vídeň, Institute of Electrical and Electronics Engineers Inc., ISBN: 978-1-5090-1287-9, p. 311-314, 4 pages, ISSN: 1805-5435, 2016
  10. L. Matějů, P. Červa, J. Žďánský, Study on the use of deep neural networks for speech activity detection in broadcast recordings, ICETE 2016 - Proceedings of the 13th International Joint Conference on e-Business and Telecommunications, Lisabon, Portugalsko, SciTePress, ISBN: 978-989-758-196-0, p. 45-51, 7 pages, 2016
  11. L. Matějů, P. Červa, J. Žďánský, Investigation into the use of deep neural networks for LVCSR of Czech, 2015 IEEE International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics, Česká Republika, IEEE, 1, ISBN: 978-1-4799-6972-2, p. 38-41, 4 pages, 2015