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ORCIDJan Svec
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2020 – today
- 2024
[c76]Jan Svec
, Martin Bulín, Adam Frémund, Filip Polák:
Asking Questions Framework for Oral History Archives. ECIR (3) 2024: 167-180- 2023
- [c75]Markéta Rezácková, Adam Frémund, Jan Svec, Jindrich Matousek:
T5G2P: Multilingual Grapheme-to-Phoneme Conversion with Text-to-Text Transfer Transformer. ACPR (3) 2023: 336-345 - [c74]Jan Svec, Lubos Smídl, Jan Lehecka:
Transformer-Based Encoder-Encoder Architecture for Spoken Term Detection. ACPR (3) 2023: 346-357 - [c73]Pavel Ircing, Jan Svec:
Will XAI Provide Real Explanation or Just a Plausible Rationalization? ACPR (3) 2023: 358-368 - [c72]Martin Bulín, Martin Adamec, Petr Neduchal, Marek Hrúz, Jan Svec:
Voice-Interactive Learning Dialogue on a Low-Cost Device. ACPR (3) 2023: 369-382 - [c71]Martin Bulín, Jan Svec, Pavel Ircing:
The System for Efficient Indexing and Search in the Large Archives of Scanned Historical Documents. ECIR (3) 2023: 206-210 - [c70]Marie Kunesová, Jindrich Matousek, Jan Lehecka, Jan Svec, Josef Michálek, Daniel Tihelka, Martin Bulín, Zdenek Hanzlícek, Markéta Rezácková:
Ensemble of Deep Neural Network Models for MOS Prediction. ICASSP 2023: 1-5 - [c69]Jan Lehecka, Jan Svec, Josef V. Psutka, Pavel Ircing:
Transformer-based Speech Recognition Models for Oral History Archives in English, German, and Czech. INTERSPEECH 2023: 201-205 - [c68]Jan Svec, Martin Bulín, Adam Frémund, Filip Polák:
Asking Questions: an Innovative Way to Interact with Oral History Archives. INTERSPEECH 2023: 3679-3680 - 2022
- [c67]Martin Kocour, Jahnavi Umesh, Martin Karafiát, Jan Svec, Fernando López, Jordi Luque, Karel Benes, Mireia Díez, Igor Szöke, Karel Veselý, Lukás Burget, Jan Cernocký:
BCN2BRNO: ASR System Fusion for Albayzin 2022 Speech to Text Challenge. IberSPEECH 2022: 276-280 - [c66]Jan Lehecka, Jan Svec, Ales Prazák, Josef Psutka:
Exploring Capabilities of Monolingual Audio Transformers using Large Datasets in Automatic Speech Recognition of Czech. INTERSPEECH 2022: 1831-1835 - [c65]Jan Svec, Jan Lehecka, Lubos Smídl:
Deep LSTM Spoken Term Detection using Wav2Vec 2.0 Recognizer. INTERSPEECH 2022: 1886-1890 - [c64]Martin Kocour, Katerina Zmolíková, Lucas Ondel, Jan Svec, Marc Delcroix, Tsubasa Ochiai, Lukás Burget, Jan Cernocký:
Revisiting joint decoding based multi-talker speech recognition with DNN acoustic model. INTERSPEECH 2022: 4955-4959 - [c63]Jan Svec, Katerina Zmolíková, Martin Kocour, Marc Delcroix, Tsubasa Ochiai, Ladislav Mosner, Jan Honza Cernocký:
Analysis of Impact of Emotions on Target Speech Extraction and Speech Separation. IWAENC 2022: 1-5 - [c62]Jakub Machura, Adam Frémund, Jan Svec:
Automatic Grammar Correction of Commas in Czech Written Texts: Comparative Study. TSD 2022: 113-124 - [c61]Jan Svec, Adam Frémund, Martin Bulín, Jan Lehecka:
Transfer Learning of Transformers for Spoken Language Understanding. TSD 2022: 489-500 - [c60]Jan Svec, Filip Polák, Ales Bartos, Michaela Zapletalová, Martin Víta:
Evaluation of Wav2Vec Speech Recognition for Speakers with Cognitive Disorders. TSD 2022: 501-512 - [i7]Jan Lehecka, Jan Svec, Ales Prazák, Josef V. Psutka:
Exploring Capabilities of Monolingual Audio Transformers using Large Datasets in Automatic Speech Recognition of Czech. CoRR abs/2206.07627 (2022) - [i6]Jan Svec, Katerina Zmolíková, Martin Kocour, Marc Delcroix, Tsubasa Ochiai, Ladislav Mosner, Jan Cernocký:
Analysis of impact of emotions on target speech extraction and speech separation. CoRR abs/2208.07091 (2022) - [i5]Jan Svec, Jan Lehecka, Lubos Smídl:
Deep LSTM Spoken Term Detection using Wav2Vec 2.0 Recognizer. CoRR abs/2210.11885 (2022) - [i4]Jan Svec, Lubos Smídl, Josef V. Psutka, Ales Prazák:
Spoken Term Detection and Relevance Score Estimation using Dot-Product of Pronunciation Embeddings. CoRR abs/2210.11895 (2022) - [i3]Jan Svec, Lubos Smídl, Jan Lehecka:
Transformer-based encoder-encoder architecture for Spoken Term Detection. CoRR abs/2211.01089 (2022) - 2021
- [c59]Markéta Rezácková, Jan Svec, Daniel Tihelka:
T5G2P: Using Text-to-Text Transfer Transformer for Grapheme-to-Phoneme Conversion. Interspeech 2021: 6-10 - [c58]Ales Prazák, Zdenek Loose, Josef V. Psutka, Vlasta Radová, Josef Psutka, Jan Svec:
Live TV Subtitling Through Respeaking. Interspeech 2021: 2339-2340 - [c57]Jan Svec, Lubos Smídl, Josef V. Psutka, Ales Prazák:
Spoken Term Detection and Relevance Score Estimation Using Dot-Product of Pronunciation Embeddings. Interspeech 2021: 4398-4402 - [c56]Jan Lehecka, Jan Svec:
Comparison of Czech Transformers on Text Classification Tasks. SLSP 2021: 27-37 - [c55]Adam Chýlek, Jan Svec, Lubos Smídl:
Initial Experiments on Question Answering from the Intrinsic Structure of Oral History Archives. SPECOM 2021: 124-133 - [c54]Ivan Gruber, Marek Hrúz, Pavel Ircing, Petr Neduchal, Tomás Zítka, Miroslav Hlavác, Zbynek Zajíc, Jan Svec, Martin Bulín:
OCR Improvements for Images of Multi-page Historical Documents. SPECOM 2021: 226-237 - [c53]Jan Svec, Jan Lehecka, Lubos Smídl, Pavel Ircing:
Transformer-Based Automatic Punctuation Prediction and Word Casing Reconstruction of the ASR Output. TDS 2021: 86-94 - [c52]Josef V. Psutka, Jan Svec, Ales Prazák:
CNN-TDNN-Based Architecture for Speech Recognition Using Grapheme Models in Bilingual Czech-Slovak Task. TDS 2021: 523-533 - [i2]Jan Lehecka, Jan Svec:
Comparison of Czech Transformers on Text Classification Tasks. CoRR abs/2107.10042 (2021) - [i1]Martin Kocour, Katerina Zmolíková, Lucas Ondel, Jan Svec, Marc Delcroix, Tsubasa Ochiai, Lukás Burget, Jan Cernocký:
Revisiting joint decoding based multi-talker speech recognition with DNN acoustic model. CoRR abs/2111.00009 (2021) - 2020
- [c51]Jan Lehecka, Jan Svec, Pavel Ircing, Lubos Smídl:
BERT-Based Sentiment Analysis Using Distillation. SLSP 2020: 58-70 - [c50]Ivan Gruber, Pavel Ircing, Petr Neduchal, Marek Hrúz, Miroslav Hlavác, Zbynek Zajíc, Jan Svec, Martin Bulín:
An Automated Pipeline for Robust Image Processing and Optical Character Recognition of Historical Documents. SPECOM 2020: 166-175 - [c49]Jan Lehecka, Jan Svec, Pavel Ircing, Lubos Smídl:
Adjusting BERT's Pooling Layer for Large-Scale Multi-Label Text Classification. TDS 2020: 214-221 - [c48]Jan Svec, Jan Lehecka, Lubos Smídl, Pavel Ircing:
Automatic Correction of i/y Spelling in Czech ASR Output. TDS 2020: 321-330
2010 – 2019
- 2019
- [j3]Lubos Smídl, Jan Svec, Daniel Tihelka, Jindrich Matousek, Jan Romportl, Pavel Ircing:
Air traffic control communication (ATCC) speech corpora and their use for ASR and TTS development. Lang. Resour. Evaluation 53(3): 449-464 (2019) - [c47]Adam Chýlek, Lubos Smídl, Jan Svec:
Multimodal Dialog with the MALACH Audiovisual Archive. INTERSPEECH 2019: 3663-3664 - [c46]Stanislav Hes, Jan Kula, Jan Svec:
Analysis of Smart Technical Measures Impacts on DER and EV Hosting Capacity Increase in LV and MV Grids in the Czech Republic in Terms of European Project InterFlex. ISGT Europe 2019: 1-5 - [c45]Stanislav Hes, Jan Kula, Jan Svec:
Increasing DER Hosting Capacity in LV Grids in the Czech Republic in Terms of European Project InterFlex. ISGT Europe 2019: 1-5 - [c44]Martin Bulín, Lubos Smídl, Jan Svec:
On Using Stateful LSTM Networks for Key-Phrase Detection. TSD 2019: 287-298 - [c43]Adam Chýlek, Lubos Smídl, Jan Svec:
Question-Answering Dialog System for Large Audiovisual Archives. TSD 2019: 385-397 - 2018
- [c42]Jan Svec, Josef V. Psutka, Jan Trmal, Lubas Smfdl, Pavel Ircing, Jan Sedmidubský:
On the Use of Grapheme Models for Searching in Large Spoken Archives. ICASSP 2018: 6259-6263 - [c41]Lubos Smídl, Jan Svec, Daniel Tihelka, Jindrich Matousek, Jan Romportl, Pavel Ircing:
Design and Development of Speech Corpora for Air Traffic Control Training. LREC 2018 - [c40]Zbynek Zajíc, Lucie Skorkovská, Petr Neduchal, Pavel Ircing, Josef V. Psutka, Marek Hrúz, Ales Prazák, Daniel Soutner, Jan Svec, Lukás Bures, Ludek Müller:
Towards Processing of the Oral History Interviews and Related Printed Documents. LREC 2018 - [c39]Martin Bulín, Lubos Smídl, Jan Svec:
Towards Network Simplification for Low-Cost Devices by Removing Synapses. SPECOM 2018: 58-67 - [c38]Lubos Smídl, Jan Svec, Ales Prazák, Jan Trmal:
Semi-Supervised Training of DNN-Based Acoustic Model for ATC Speech Recognition. SPECOM 2018: 646-655 - [c37]Adam Chýlek, Jan Svec, Lubos Smídl:
Learning to Interrupt the User at the Right Time in Incremental Dialogue Systems. TSD 2018: 500-508 - 2017
- [c36]Jan Sedmidubský, Pavel Zezula, Jan Svec:
Fast Subsequence Matching in Motion Capture Data. ADBIS 2017: 59-72 - [c35]Pavel Ircing, Jan Svec, Zbynek Zajíc, Barbora Hladká, Martin Holub:
Combining Textual and Speech Features in the NLI Task Using State-of-the-Art Machine Learning Techniques. BEA@EMNLP 2017: 198-209 - [c34]Jan Svec, Josef V. Psutka, Lubos Smídl, Jan Trmal:
A Relevance Score Estimation for Spoken Term Detection Based on RNN-Generated Pronunciation Embeddings. INTERSPEECH 2017: 2934-2938 - [c33]Jan Svec, Lubos Smídl, Josef V. Psutka:
An Analysis of the RNN-Based Spoken Term Detection Training. SPECOM 2017: 119-129 - 2016
- [c32]Jan Svec, Adam Chýlek, Lubos Smídl, Pavel Ircing:
A study of different weighting schemes for spoken language understanding based on convolutional neural networks. ICASSP 2016: 6065-6069 - [c31]Lubos Smídl, Adam Chýlek, Jan Svec:
A Multimodal Dialogue System for Air Traffic Control Trainees Based on Discrete-Event Simulation. INTERSPEECH 2016: 379-380 - [c30]Petr Stanislav, Lubos Smídl, Jan Svec:
An Automatic Training Tool for Air Traffic Control Training. INTERSPEECH 2016: 782-783 - [c29]Petr Stanislav, Jan Svec, Pavel Ircing:
An Engine for Online Video Search in Large Archives of the Holocaust Testimonies. INTERSPEECH 2016: 2352-2353 - [c28]Jan Svec, Jan Rygl:
Building Corpora for Stylometric Research. TSD 2016: 20-27 - 2015
- [c27]Jan Svec, Lubos Smídl, Tomás Valenta, Adam Chýlek, Pavel Ircing:
Word-semantic lattices for spoken language understanding. ICASSP 2015: 5266-5270 - [c26]Jan Svec, Adam Chýlek, Lubos Smídl:
Hierarchical discriminative model for spoken language understanding based on convolutional neural network. INTERSPEECH 2015: 1864-1868 - [c25]Jan Svec, Jan Rygl:
Slavonic Corpus for Stylometry Research. RASLAN 2015: 11-21 - [c24]Jan Lehecka, Jan Svec:
Improving Multi-label Document Classification of Czech News Articles. TSD 2015: 307-315 - 2014
- [j2]Jan Svec, Jan Lehecka, Pavel Ircing, Lucie Skorkovská, Ales Prazák, Jan Vavruska, Petr Stanislav, Jan Hoidekr:
General framework for mining, processing and storing large amounts of electronic texts for language modeling purposes. Lang. Resour. Evaluation 48(2): 227-248 (2014) - [c23]Jan Svec, Lubos Smídl:
Semantic Entity Detection in the Spoken Air Traffic Control Data. SPECOM 2014: 394-401 - [c22]Tomás Valenta, Lubos Smídl, Jan Svec, Daniel Soutner:
Inter-Annotator Agreement on Spontaneous Czech Language - Limits of Automatic Speech Recognition Accuracy. TSD 2014: 390-397 - [c21]Adam Chýlek, Jan Svec, Lubos Smídl:
Two-Layer Semantic Entity Detection and Utterance Validation for Spoken Dialogue Systems. TSD 2014: 563-570 - [c20]Jan Svec:
Semi-supervised Learning Algorithm for Binary Relevance Multi-label Classification. WISE Workshops 2014: 1-13 - [c19]Grigorios Tsoumakas, Apostolos Papadopoulos, Weining Qian, Stavros Vologiannidis, Alexander D'yakonov, Antti Puurula, Jesse Read, Jan Svec, Stanislav Semenov:
WISE 2014 Challenge: Multi-label Classification of Print Media Articles to Topics. WISE (2) 2014: 541-548 - 2013
- [c18]Jan Svec, Pavel Ircing, Lubos Smídl:
Semantic entity detection from multiple ASR hypotheses within the WFST framework. ASRU 2013: 84-89 - [c17]Jan Svec, Pavel Ircing:
Efficient algorithm for rational kernel evaluation in large lattice sets. ICASSP 2013: 3133-3137 - [c16]Jan Svec, Lubos Smídl, Pavel Ircing:
Hierarchical discriminative model for spoken language understanding. ICASSP 2013: 8322-8326 - [c15]Jan Lehecka, Jan Svec:
Improving Speech Recognition by Detecting Foreign Inclusions and Generating Pronunciations. TSD 2013: 295-302 - [c14]Jan Svec, Lubos Smídl:
On the Use of Phoneme Lattices in Spoken Language Understanding. TSD 2013: 369-377 - [c13]Jan Vavruska, Jan Svec, Pavel Ircing:
Phonetic Spoken Term Detection in Large Audio Archive Using the WFST Framework. TSD 2013: 402-409 - 2012
- [c12]Petr Stanislav, Jan Svec, Lubos Smídl:
Unsupervised Synchronization of Hidden Subtitles with Audio Track Using Keyword Spotting Algorithm. TSD 2012: 422-430 - [c11]Tomás Valenta, Jan Svec, Lubos Smídl:
Spoken Dialogue System Design in 3 Weeks. TSD 2012: 624-631 - 2011
- [j1]Josef Psutka, Jan Svec, Josef V. Psutka, Jan Vanek, Ales Prazák, Lubos Smídl, Pavel Ircing:
System for fast lexical and phonetic spoken term detection in a Czech cultural heritage archive. EURASIP J. Audio Speech Music. Process. 2011: 10 (2011) - [c10]Jan Svec, Jan Hoidekr, Daniel Soutner, Jan Vavruska:
Web Text Data Mining for Building Large Scale Language Modelling Corpus. TSD 2011: 356-363 - 2010
- [c9]Josef Psutka, Jan Svec, Josef V. Psutka, Jan Vanek, Ales Prazák, Lubos Smídl:
Fast Phonetic/Lexical Searching in the Archives of the Czech Holocaust Testimonies: Advancing Towards the MALACH Project Visions. TSD 2010: 385-391 - [c8]Jan Svec, Lubos Smídl:
Prototype of Czech Spoken Dialog System with Mixed Initiative for Railway Information Service. TSD 2010: 568-575
2000 – 2009
- 2009
- [c7]Jáchym Kolár, Jan Svec:
The Czech Broadcast Conversation Corpus. TSD 2009: 101-108 - [c6]Jan Svec, Filip Jurcícek:
Extended Hidden Vector State Parser. TSD 2009: 403-410 - 2008
- [c5]Filip Jurcícek, Jan Svec, Ludek Müller:
Extension of HVS semantic parser by allowing left-right branching. ICASSP 2008: 4993-4996 - [c4]Jáchym Kolár, Jan Svec:
Structural Metadata Annotation of Speech Corpora: Comparing Broadcast News and Broadcast Conversations. LREC 2008 - 2007
- [c3]Jan Svec, Filip Jurcícek, Ludek Müller:
Parameterization of the Input in Training the HVS Semantic Parser. TSD 2007: 415-422 - 2006
- [c2]Filip Jurcícek, Jan Svec, Jirí Zahradil, Libor Jelínek:
Use of Negative Examples in Training the HVS Semantic Model. TSD 2006: 605-612 - 2005
- [c1]Jáchym Kolár, Jan Svec, Stephanie M. Strassel, Christopher Walker, Dagmar Kozlíková, Josef Psutka:
Czech spontaneous speech corpus with structural metadata. INTERSPEECH 2005: 1165-1168
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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