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ORCIDJindrich Zdánský
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2020 – today
- 2023
[c49]Martin Polácek, Petr Cerva, Jindrich Zdánský, Lenka Weingartová:
Online Punctuation Restoration using ELECTRA Model for streaming ASR Systems. INTERSPEECH 2023: 446-450- [c48]Lukás Mateju, Jan Nouza, Petr Cerva, Jindrich Zdánský, Frantisek Kynych:
Combining Multilingual Resources and Models to Develop State-of-the-Art E2E ASR for Swedish. INTERSPEECH 2023: 3252-3256 - [c47]Frantisek Kynych, Jindrich Zdánský, Petr Cerva, Lukás Mateju:
Online Speaker Diarization Using Optimized SE-ResNet Architecture. TSD 2023: 176-187 - [c46]Jan Nouza, Lukás Mateju, Petr Cerva, Jindrich Zdánský:
Developing State-of-the-Art End-to-End ASR for Norwegian. TSD 2023: 200-213 - 2022
- [j4]Jirí Málek
, Jakub Janský, Zbynek Koldovský, Tomás Kounovský, Jaroslav Cmejla, Jindrich Zdánský:
Target Speech Extraction: Independent Vector Extraction Guided by Supervised Speaker Identification. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2295-2309 (2022) - [c45]Lukás Mateju, Frantisek Kynych, Petr Cerva, Jirí Málek, Jindrich Zdánský:
Overlapped Speech Detection in Broadcast Streams Using X-vectors. INTERSPEECH 2022: 4606-4610 - [c44]Jan Nouza, Petr Cerva, Jindrich Zdánský:
Lexicon-based vs. Lexicon-free ASR for Norwegian Parliament Speech Transcription. TSD 2022: 401-409 - 2021
- [j3]Petr Cerva, Lukás Mateju, Jindrich Zdánský, Radek Safarík, Jan Nouza:
Identification of related languages from spoken data: Moving from off-line to on-line scenario. Comput. Speech Lang. 68: 101180 (2021) - [c43]Jirí Málek, Jakub Janský, Tomás Kounovský, Zbynek Koldovský, Jindrich Zdánský:
Blind Extraction of Moving Audio Source in a Challenging Environment Supported by Speaker Identification Via X-Vectors. ICASSP 2021: 226-230 - [c42]Lukás Mateju, Frantisek Kynych, Petr Cerva, Jindrich Zdánský, Jirí Málek:
Using X-Vectors for Speech Activity Detection in Broadcast Streams. Interspeech 2021: 1474-1478 - [c41]Petr Cerva, Lukás Mateju, Frantisek Kynych, Jindrich Zdánský, Jan Nouza:
Identification of Scandinavian Languages from Speech Using Bottleneck Features and X-Vectors. TDS 2021: 371-381 - [i3]Jirí Málek, Jakub Janský, Zbynek Koldovský, Tomás Kounovský, Jaroslav Cmejla, Jindrich Zdánský:
Blind Extraction of Target Speech Source Guided by Supervised Speaker Identification via X-vectors. CoRR abs/2111.03482 (2021) - 2020
- [c40]Josef Chaloupka, Karel Palecek, Petr Cerva, Jindrich Zdánský:
Optical Character Recognition for Audio-Visual Broadcast Transcription System. CogInfoCom 2020: 229-232 - [c39]Jakub Janský, Jirí Málek, Jaroslav Cmejla, Tomás Kounovský, Zbynek Koldovský, Jindrich Zdánský:
Adaptive Blind Audio Source Extraction Supervised By Dominant Speaker Identification Using X-Vectors. ICASSP 2020: 676-680 - [c38]Jirí Málek, Jindrich Zdánský:
Voice-Activity and Overlapped Speech Detection Using x-Vectors. TDS 2020: 366-376 - [c37]Jan Nouza, Petr Cerva, Jindrich Zdánský:
Very Fast Keyword Spotting System with Real Time Factor Below 0.01. TDS 2020: 426-436 - [i2]Jan Nouza, Petr Cerva, Jindrich Zdánský:
Very Fast Keyword Spotting System with Real Time Factor below 0.01. CoRR abs/2007.10706 (2020)
2010 – 2019
- 2019
- [c36]Lukás Mateju, Petr Cerva, Jindrich Zdánský:
An Approach to Online Speaker Change Point Detection Using DNNs and WFSTs. INTERSPEECH 2019: 649-653 - [c35]Jirí Málek, Jindrich Zdánský:
On Practical Aspects of Multi-condition Training Based on Augmentation for Reverberation-/Noise-Robust Speech Recognition. TSD 2019: 251-263 - [i1]Jakub Janský, Jirí Málek, Jaroslav Cmejla, Tomás Kounovský, Zbynek Koldovský, Jindrich Zdánský:
Adaptive blind audio source extraction supervised by dominant speaker identification using x-vectors. CoRR abs/1910.11824 (2019) - 2018
- [c34]Jirí Málek, Jindrich Zdánský, Petr Cerva:
Robust Recognition of Speech with Background Music in Acoustically Under-Resourced Scenarios. ICASSP 2018: 5624-5628 - [c33]Lukás Mateju, Petr Cerva, Jindrich Zdánský, Radek Safarík:
Using Deep Neural Networks for Identification of Slavic Languages from Acoustic Signal. INTERSPEECH 2018: 1803-1807 - [c32]Jirí Málek, Jindrich Zdánský, Petr Cerva:
Robust Recognition of Conversational Telephone Speech via Multi-condition Training and Data Augmentation. TSD 2018: 324-333 - 2017
- [c31]Jirí Málek, Jindrich Zdánský, Petr Cerva:
Robust Automatic Recognition of Speech with background music. ICASSP 2017: 5210-5214 - [c30]Lukás Mateju, Petr Cerva, Jindrich Zdánský, Jirí Málek:
Speech Activity Detection in online broadcast transcription using Deep Neural Networks and Weighted Finite State Transducers. ICASSP 2017: 5460-5464 - 2016
- [c29]Lukás Mateju, Petr Cerva, Jindrich Zdánský:
Investigation into the Use of WFSTs and DNNs for Speech Activity Detection in Broadcast Data Transcription. ICETE (Selected Papers) 2016: 341-358 - [c28]Lukás Mateju, Petr Cerva, Jindrich Zdánský:
Study on the Use of Deep Neural Networks for Speech Activity Detection in Broadcast Recordings. SIGMAP 2016: 45-51 - 2015
- [c27]Jirí Málek, Jan Silovský, Petr Cerva, Zbynek Koldovský, Jan Nouza, Jindrich Zdánský:
Compensation of nonlinear distortions in speech for automatic recognition. TSP 2015: 1-5 - 2014
- [c26]Jan Nouza, Petr Cerva, Jindrich Zdánský, Karel Blavka, Marek Bohac, Jan Silovský, Josef Chaloupka, Michaela Kucharová, Ladislav Seps, Jirí Málek, Michal Rott:
Speech-to-text technology to transcribe and disclose 100, 000+ hours of bilingual documents from historical Czech and Czechoslovak radio archive. INTERSPEECH 2014: 964-968 - 2013
- [j2]Petr Cerva, Jan Silovský, Jindrich Zdánský, Jan Nouza, Ladislav Seps:
Speaker-adaptive speech recognition using speaker diarization for improved transcription of large spoken archives. Speech Commun. 55(10): 1033-1046 (2013) - 2012
- [j1]Jan Nouza, Karel Blavka, Petr Cerva, Jindrich Zdánský, Jan Silovský, Marek Bohac, Jan Prazak:
Making Czech Historical Radio Archive Accessible and Searchable for Wide Public. J. Multim. 7(2): 159-169 (2012) - [c25]Jan Silovský, Petr Cerva, Jindrich Zdánský, Jan Nouza:
Study on Integration of Speaker Diarization with Speaker Adaptive Speech Recognition for Broadcast Transcription. INTERSPEECH 2012: 478-481 - [c24]Petr Cerva, Jan Silovský, Jindrich Zdánský, Jan Nouza, Jirí Málek:
Real-Time Lecture Transcription using ASR for Czech Hearing Impaired or Deaf Students. INTERSPEECH 2012: 763-766 - [c23]Jan Silovský, Jindrich Zdánský, Jan Nouza, Petr Cerva, Jan Prazak:
Incorporation of the ASR output in speaker segmentation and clustering within the task of speaker diarization of broadcast streams. MMSP 2012: 118-123 - [c22]Petr Cerva, Jan Silovský, Jindrich Zdánský, Ondrej Smola, Karel Blavka, Karel Palecek, Jan Nouza, Jirí Málek:
Browsing, indexing and automatic transcription of lectures for distance learning. MMSP 2012: 198-202 - [c21]Jan Nouza, Karel Blavka, Jindrich Zdánský, Petr Cerva, Jan Silovský, Marek Bohac, Josef Chaloupka, Michaela Kucharová, Ladislav Seps:
Large-scale processing, indexing and search system for Czech audio-visual cultural heritage archives. MMSP 2012: 337-342 - 2011
- [c20]Jan Silovský, Jan Prazak, Petr Cerva, Jindrich Zdánský, Jan Nouza:
PLDA-Based Clustering for Speaker Diarization of Broadcast Streams. INTERSPEECH 2011: 2909-2912 - [c19]Jan Nouza, Karel Blavka, Marek Bohac, Petr Cerva, Jindrich Zdánský, Jan Silovský, Jan Prazak:
Voice Technology to Enable Sophisticated Access to Historical Audio Archive of the Czech Radio. MM4CH 2011: 27-38
2000 – 2009
- 2009
- [c18]Jan Nouza, Jindrich Zdánský, Petr Cerva, Jan Silovský:
Challenges in Speech Processing of Slavic Languages (Case Studies in Speech Recognition of Czech and Slovak). COST 2102 Training School 2009: 225-241 - [c17]Jan Nouza, Petr Cerva, Jindrich Zdánský:
Very large vocabulary voice dictation for mobile devices. INTERSPEECH 2009: 995-998 - 2008
- [c16]Josef Chaloupka, Jan Nouza, Jindrich Zdánský:
Audio-visual voice command recognition in noisy conditions. AVSP 2008: 25-30 - [c15]Josef Chaloupka, Jan Nouza, Jindrich Zdánský, Petr Cerva, Jan Silovský, Martin Kroul:
Voice Technology Applied for Building a Prototype Smart Room. COST 2102 School (Vietri) 2008: 104-111 - [c14]Jan Silovský, Petr Cerva, Jindrich Zdánský:
MLLR Transforms Based Speaker Recognition in Broadcast Streams. COST 2102 Conference (Prague) 2008: 423-431 - [c13]Jirí Málek, Zbynek Koldovský, Jindrich Zdánský, Jan Nouza:
Enhancement of noisy speech recordings via blind source separation. INTERSPEECH 2008: 159-162 - [c12]Jan Nouza, Jan Silovský, Jindrich Zdánský, Petr Cerva, Martin Kroul, Josef Chaloupka:
Czech-to-slovak adapted broadcast news transcription system. INTERSPEECH 2008: 2683-2686 - [c11]Jindrich Zdánský, Josef Chaloupka, Jan Nouza:
Joint audio-visual processing, representation and indexing of TV news programmes. MMSP 2008: 960-965 - [c10]Petr Cerva, Jindrich Zdánský, Jan Silovský, Jan Nouza:
Study on Speaker Adaptation Methods in the Broadcast News Transcription Task. TSD 2008: 277-284 - 2006
- [c9]Jan Nouza, Jindrich Zdánský, Petr Cerva, Jan Kolorenc:
Continual on-line monitoring of Czech spoken broadcast programs. INTERSPEECH 2006 - [c8]Jindrich Zdánský:
BINSEG: an efficient speaker-based segmentation technique. INTERSPEECH 2006 - [c7]Jan Nouza, Jindrich Zdánský, Petr Cerva, Jan Kolorenc:
A System for Information Retrieval from Large Records of Czech Spoken Data. TSD 2006: 485-492 - 2005
- [c6]Janez Zibert, France Mihelic, Jean-Pierre Martens, Hugo Meinedo, João Paulo Neto, Laura Docío Fernández, Carmen García-Mateo, Petr David, Jindrich Zdánský, Matús Pleva, Anton Cizmar, Andrej Zgank, Zdravko Kacic, Csaba Teleki, Klára Vicsi:
The COST278 broadcast news segmentation and speaker clustering evaluation - overview, methodology, systems, results. INTERSPEECH 2005: 629-632 - [c5]Jindrich Zdánský, Jan Nouza:
Detection of acoustic change-points in audio records via global BIC maximization and dynamic programming. INTERSPEECH 2005: 669-672 - [c4]Jan Nouza, Jindrich Zdánský, Petr David, Petr Cerva, Jan Kolorenc, Dana Nejedlová:
Fully automated system for Czech spoken broadcast transcription with very large (300k+) lexicon. INTERSPEECH 2005: 1681-1684 - 2004
- [c3]Jan Nouza, Dana Nejedlová, Jindrich Zdánský, Jan Kolorenc:
Very large vocabulary speech recognition system for automatic transcription of czech broadcast programs. INTERSPEECH 2004: 409-412 - [c2]Jindrich Zdánský, Petr David, Jan Nouza:
An improved preprocessor for the automatic transcription of broadcast news audio stream. INTERSPEECH 2004: 1065-1068 - [c1]Jan Nouza, Jindrich Zdánský, Petr David:
Fully Automated Approach to Broadcast News Transcription in Czech Language. TSD 2004: 401-408
Coauthor Index
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