| Air traffic control communication (ATCC) speech corpora and their use for ASR and TTS development L ©mídl, J ©vec, D Tihelka, J Matou¹ek, J Romportl, P Ircing Language Resources and Evaluation 53, 449-464, 2019 | 34 | 2019 |
| System for fast lexical and phonetic spoken term detection in a czech cultural heritage archive J Psutka, J ©vec, JV Psutka, J Vanìk, A Pra¾ák, L ©mídl, P Ircing EURASIP Journal on Audio, Speech, and Music Processing 2011, 1-11, 2011 | 33 | 2011 |
| Design of speech recognition engine L Mŭller, J Psutka, L ©mídl International Workshop on Text, Speech and Dialogue, 259-264, 2000 | 31 | 2000 |
| Voice-supported electronic health record for temporomandibular joint disorders R Hippmann, T Dostálová, J Zvárová, M Nagy, M Seydlova, P Hanzlicek, ... Methods of information in medicine 49 (02), 168-172, 2010 | 22 | 2010 |
| Semi-supervised training of DNN-based acoustic model for ATC speech recognition L ©mídl, J ©vec, A Pra¾ák, J Trmal Speech and Computer: 20th International Conference, SPECOM 2018, Leipzig …, 2018 | 20 | 2018 |
| On the impact of annotation errors on unit-selection speech synthesis J Matou¹ek, D Tihelka, L ©mídl Text, Speech and Dialogue: 15th International Conference, TSD 2012, Brno …, 2012 | 20 | 2012 |
| Voice-controlled data entry in dental electronic health record. M Nagy, P Hanzlicek, J Zvarova, T Dostalova, M Seydlova, R Hippman, ... Studies in health technology and informatics 136, 529, 2008 | 20 | 2008 |
| Bert-based sentiment analysis using distillation J Leheèka, J ©vec, P Ircing, L ©mídl International conference on statistical language and speech processing, 58-70, 2020 | 17 | 2020 |
| Adjusting BERT’s pooling layer for large-scale multi-label text classification J Leheèka, J ©vec, P Ircing, L ©mídl International Conference on Text, Speech, and Dialogue, 214-221, 2020 | 15 | 2020 |
| Hierarchical discriminative model for spoken language understanding J ©vec, L ©mídl, P Ircing 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 15 | 2013 |
| Comparison of keyword spotting methods for searching in speech L ©mídl, J Psutka Interspeech 2006, 1894-1897, 2006 | 15 | 2006 |
| Transformer-based automatic punctuation prediction and word casing reconstruction of the ASR output J ©vec, J Leheèka, L ©mídl, P Ircing International Conference on Text, Speech, and Dialogue, 86-94, 2021 | 10 | 2021 |
| A relevance score estimation for spoken term detection based on RNN-generated pronunciation embeddings J ©vec, JV Psutka, L ©mídl, J Trmal Proc. Interspeech 2017, 2934-2938, 2017 | 10 | 2017 |
| Semantic entity detection from multiple ASR hypotheses within the WFST framework J ©vec, P Ircing, L ©mídl 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 84-89, 2013 | 10 | 2013 |
| Prototype of Czech spoken dialog system with mixed initiative for railway information service J ©vec, L ©mídl International Conference on Text, Speech and Dialogue, 568-575, 2010 | 10 | 2010 |
| An automatic training tool for air traffic control training P Stanislav, L ©mídl, J ©vec Proc. Interspeech 2016, 782-783, 2016 | 9 | 2016 |
| Evaluation of voice-based data entry to an electronic health record system for dentistry K Chleborad, K Zvara Jr, T Dostalova, K Zvara, R Hippmann, ... Biocybernetics and Biomedical Engineering 33 (4), 204-210, 2013 | 9 | 2013 |
| Learning to interrupt the user at the right time in incremental dialogue systems A Chýlek, J ©vec, L ©mídl International Conference on Text, Speech, and Dialogue, 500-508, 2018 | 8 | 2018 |
| On the use of grapheme models for searching in large spoken archives J Svec, JV Psutka, J Trmal, L Smidl, P Ircing, J Sedmidubsky 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 8 | 2018 |
| Spoken dialogue system design in 3 weeks T Valenta, J ©vec, L ©mídl Text, Speech and Dialogue: 15th International Conference, TSD 2012, Brno …, 2012 | 8 | 2012 |
Jan ©vecDepartment of Cybernetics, University of West BohemiaVerified email at kky.zcu.cz
