Ing. Jindřich Žďánský, Ph.D.

Ing. Jindřich Žďánský, Ph.D.
Ústav informačních technologií a elektroniky (ITE): člen katedry

E-mail:: jindrich.zdansky@gmail.com
Kancelář:: A02017
Tel.:: +420 48535 3066
STAG:: profil na portálu STAG

Další funkce: Další publikace zde

Publikace

MATĚJŮ, L., NOUZA, J., ČERVA, P. a ŽĎÁNSKÝ, J. Combining multilingual resources to enhance end-to-end speech recognition systems for Scandinavian languages SPEECH COMMUNICATION Elsevier B.V., 2025, roč. 170, č. 103221. S. neuvedeny (13 stran). ISSN: 0167-6393.
POLÁČEK, M., ČERVA, P. a ŽĎÁNSKÝ, J. Lightweight online punctuation and capitalization restoration for streaming ASR systems SPEECH COMMUNICATION Elsevier B.V., 2025, roč. 173, č. SEP. S. neuvedeny (4 stranky). ISBN: undefined, ISSN: 0167-6393.
KYNYCH, F. aj. A lightweight approach to real-time speaker diarization: from audio toward audio-visual data streams Eurasip Journal on Audio, Speech, and Music Processing Springer, 2024, roč. 2024, č. 1. S. neuvedeny (16 stran). ISSN: 1687-4722.
ČERVA, P., NOUZA, J., ŽĎÁNSKÝ, J. a MATĚJŮ, L. Softwarové moduly pro automatický přepis a zpracování mluvené dánštiny [software].
ČERVA, P., NOUZA, J., ŽĎÁNSKÝ, J. a MATĚJŮ, L. Softwarové moduly pro automatický přepis a zpracování mluvené norštiny [software].
všechny publikace
ČERVA, P., NOUZA, J., ŽĎÁNSKÝ, J. a MATĚJŮ, L. Softwarové moduly pro automatický přepis a zpracování mluvené švédštiny [software].
KYNYCH, F., ČERVA, P. a ŽĎÁNSKÝ, J. Systém pro online diarizaci mluvčích v audiovizuálních datových proudech [software].
MATĚJŮ, L. aj. Combining Multilingual Resources and Models to Develop State-of-the-Art E2E ASR for Swedish Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH Dublin: ISCA, 2023 S. 3252 – 3256. ISSN: 2308-457X.
NOUZA, J., MATĚJŮ, L., ČERVA, P. a ŽĎÁNSKÝ, J. Developing State-of-the-Art End-to-End ASR for Norwegian Lecture Notes in Computer Science - including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Springer Science and Business, 2023 S. 200 – 213. ISBN: 978-303140497-9, ISSN: 03029743.
POLÁČEK, M., ČERVA, P., ŽĎÁNSKÝ, J. a WEINGARTOVÁ, L. Online Punctuation Restoration using ELECTRA Model for streaming ASR Systems Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH Irsko: ISCA, 2023 S. 446 – 450. ISSN: 2308-457X.
KYNYCH, F., ŽĎÁNSKÝ, J., ČERVA, P. a MATĚJŮ, L. Online Speaker Diarization Using Optimized SE-ResNet Architecture Lecture Notes in Computer Science Německo: Springer, 2023 S. 176 – 187. ISBN: 978-303140497-9, ISSN: 03029743.
NOUZA, J., ČERVA, P. a ŽĎÁNSKÝ, J. Lexicon-based vs. Lexicon-free ASR for Norwegian Parliament Speech Transcription Lecture Notes in Computer Science SPRINGER-VERLAG BERLIN, 2022 S. 401 – 409. ISBN: 978-303116269-5, ISSN: 0302-9743.
MATĚJŮ, L. aj. Overlapped Speech Detection in Broadcast Streams Using X-vectors Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH Jižní Korea: ISCA, 2022 S. 4606 – 4610. ISSN: 2308-457X.
MÁLEK, J. aj. Target Speech Extraction: Independent Vector Extraction Guided by Supervised Speaker Identification IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING IEEE, 2022, roč. 30, č. 30. S. 2295 – 2309. ISSN: 2329-9290.
MÁLEK, J. aj. Blind extraction of moving audio source in a challenging environment supported by speaker identification via X-vectors ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 1. vyd. USA: IEEE, 2021 S. 226 – 230. ISSN: 1520-6149.
ČERVA, P. aj. Identification of related languages from spoken data: Moving from off-line to on-line scenario Computer Speech and Language Elsevier, 2021, roč. 68, č. JUL. S. neuvedeny (19 stran). ISSN: 0885-2308.
ČERVA, P. aj. Identification of Scandinavian Languages from Speech Using Bottleneck Features and X-vectors Lecture Notes in Computer Science Switzerland: Springer Nature Switzerland AG, 2021 S. 371 – 381. ISBN: 978-303083526-2, ISSN: 0302-9743.
MATĚJŮ, L. aj. Using X-vectors for Speech Activity Detection in Broadcast Streams Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH ISCA, 2021 S. 4161 – 4165. ISBN: 978-171383690-2, ISSN: 2308-457X.
JANSKÝ, J. aj. Adaptive blind audio source extraction supervised by dominant speaker identification using x-vectors ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 1. vyd. Barcelona: IEEE, 2020 S. 676 – 680. ISBN: 978-1-5090-6631-5, ISSN: 1520-6149.
CHALOUPKA, J., PALEČEK, K., ČERVA, P. a ŽĎÁNSKÝ, J. Optical Character Recognition for Audio-Visual Broadcast Transcription System 11th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2020 - Proceedings 1. vyd. Finsko: IEEE, 2020 S. 229 – 232. ISBN: 978-172818213-1.
NOUZA, J., ČERVA, P. a ŽĎÁNSKÝ, J. Very Fast Keyword Spotting System with Real Time Factor below 0.01 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 23rd International Conference on Text, Speech, and Dialogue, TSD 2020 1. vyd. Switzerland: Springer Nature Switzerland, 2020 S. 426 – 436. ISBN: 978-303058322-4, ISSN: 0302-9743.
MÁLEK, J. a ŽĎÁNSKÝ, J. Voice-activity and overlapped speech detection using x-vectors Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 23rd International Conference on Text, Speech, and Dialogue, TSD 2020 1. vyd. Switzerland: Springer Nature Switzerland, 2020 S. 366 – 376. ISBN: 978-303058322-4, ISSN: 0302-9743.
MATĚJŮ, L., ČERVA, P. a ŽĎÁNSKÝ, J. An Approach to Online Speaker Change Point Detection Using DNNs and WFSTs Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 1. vyd. Austria: ISCA, 2019 S. 649 – 653. ISSN: 2308-457X.
MÁLEK, J. a ŽĎÁNSKÝ, J. On Practical Aspects of Multi-condition Training Based on Augmentation for Reverberation-/Noise-Robust Speech Recognition Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 1. vyd. Switzerland: Springer Nature Switzerland AG., 2019 S. 251 – 263. ISBN: 978-303027946-2, ISSN: 0302-9743.
MÁLEK, J., ŽĎÁNSKÝ, J. a ČERVA, P. Robust Recognition of Conversational Telephone Speech via Multi-Condition Training and Data Augmentation 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, 2018 S. 324 – 333. ISBN: 978-303000793-5, ISSN: 0302-9743.
MÁLEK, J., ŽĎÁNSKÝ, J. a ČERVA, P. Robust Recognition of Speech with Background Music in Acoustically Under-Resourced Scenarios ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 1. vyd. Kanada: IEEE, 2018 S. 5624 – 5628. ISBN: 978-153864658-8, ISSN: 1520-6149.
MATĚJŮ, L., ČERVA, P., ŽĎÁNSKÝ, J. a ŠAFAŘÍK, R. Using Deep Neural Networks for Identification of Slavic Languages from Acoustic Signal Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 1. vyd. Indie: ISCA, 2018 S. 1803 – 1807. ISSN: 2308-457X.
MATĚJŮ, L., ČERVA, P. a ŽĎÁNSKÝ, J. 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, 2017 S. 341 – 358. ISBN: 978-331967875-7, ISSN: 1865-0929.
NOUZA, J. aj. Multilingvální platforma pro monitoring a analýzu multimédií [ověřená technologie]. 2017.
MÁLEK, J., ŽĎÁNSKÝ, J. a ČERVA, P. Robust Automatic Recognition of Speech with Background Music 16 June 2017, Article number 7953150, Pages 5210-52142017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017; Hilton New Orleans RiversideNew Orleans; United States; 5 March 2017 through 9 March 2017; Category numberCFP USA: Institute of Electrical and Electronics Engineers Inc., 2017 S. 5210 – 5214. ISBN: 978-1-5090-4117-6, ISSN: 1520-6149.
MATĚJŮ, L., ČERVA, P., ŽĎÁNSKÝ, J. a MÁLEK, J. 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., 2017 S. 5460 – 5464. ISBN: 978-1-5090-4117-6, ISSN: 1520-6149.
MATĚJŮ, L., ČERVA, P. a ŽĎÁNSKÝ, J. 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, 2016 S. 45 – 51. ISBN: 978-989-758-196-0.
MÁLEK, J. aj. Compensation of Nonlinear Distortions in Speech for Automatic Recognition 38th International Conference on Telecommunications and Signal Processing, TSP 2015 1. vyd. Praha, Česká Republika: Institute of Electrical and Electronics Engineers Inc., 2015 S. 419 – 423. ISBN: 978-1-4799-8498-5.
MATĚJŮ, L., ČERVA, P. a ŽĎÁNSKÝ, J. 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 1. vyd. Česká Republika: IEEE, 2015 S. 38 – 41. ISBN: 978-1-4799-6972-2.
NOUZA, J. aj. Unikátní softwarová technologická platforma pro přepisy archivů historických i současných pořadů ČRo a jejich zpřístupnění pomocí webu [software].

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Ing. Jindřich Žďánský, Ph.D.

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