Czech spontaneous speech corpus with structural metadata. - Jáchym Kolár; Jan Svec; Stephanie M. Strassel; Christopher Walker; Dagmar Kozlíková; Josef Psutka (INTERSPEECH, 2005)

Use of Negative Examples in Training the HVS Semantic Model. - Filip Jurcícek; Jan Svec; Jirí Zahradil; Libor Jelínek (TSD, 2006)

Parameterization of the Input in Training the HVS Semantic Parser. - Jan Svec; Filip Jurcícek; Ludek Müller (TSD, 2007)

Extension of HVS semantic parser by allowing left-right branching. - Filip Jurcícek; Jan Svec; Ludek Müller (ICASSP, 2008)

Structural Metadata Annotation of Speech Corpora: Comparing Broadcast News and Broadcast Conversations. - Jáchym Kolár; Jan Svec (LREC, 2008)

The Czech Broadcast Conversation Corpus. - Jáchym Kolár; Jan Svec (TSD, 2009)

Extended Hidden Vector State Parser. - Jan Svec; Filip Jurcícek (TSD, 2009)

Fast Phonetic/Lexical Searching in the Archives of the Czech Holocaust Testimonies: Advancing Towards the MALACH Project Visions. - Josef Psutka; Jan Svec; Josef V. Psutka; Jan Vanek; Ales Prazák; Lubos Smídl (TSD, 2010)

Prototype of Czech Spoken Dialog System with Mixed Initiative for Railway Information Service. - Jan Svec; Lubos Smídl (TSD, 2010)

Web Text Data Mining for Building Large Scale Language Modelling Corpus. - Jan Svec; Jan Hoidekr; Daniel Soutner; Jan Vavruska (TSD, 2011)

System for fast lexical and phonetic spoken term detection in a Czech cultural heritage archive. - Josef Psutka; Jan Svec; Josef V. Psutka; Jan Vanek; Ales Prazák; Lubos Smídl; Pavel Ircing (EURASIP J. Audio Speech Music. Process., 2011)

Unsupervised Synchronization of Hidden Subtitles with Audio Track Using Keyword Spotting Algorithm. - Petr Stanislav; Jan Svec; Lubos Smídl (TSD, 2012)

Spoken Dialogue System Design in 3 Weeks. - Tomás Valenta; Jan Svec; Lubos Smídl (TSD, 2012)

Semantic entity detection from multiple ASR hypotheses within the WFST framework. - Jan Svec; Pavel Ircing; Lubos Smídl (ASRU, 2013)

Efficient algorithm for rational kernel evaluation in large lattice sets. - Jan Svec; Pavel Ircing (ICASSP, 2013)

Hierarchical discriminative model for spoken language understanding. - Jan Svec; Lubos Smídl; Pavel Ircing (ICASSP, 2013)

Improving Speech Recognition by Detecting Foreign Inclusions and Generating Pronunciations. - Jan Lehecka; Jan Svec (TSD, 2013)

On the Use of Phoneme Lattices in Spoken Language Understanding. - Jan Svec; Lubos Smídl (TSD, 2013)

Phonetic Spoken Term Detection in Large Audio Archive Using the WFST Framework. - Jan Vavruska; Jan Svec; Pavel Ircing (TSD, 2013)

Semantic Entity Detection in the Spoken Air Traffic Control Data. - Jan Svec; Lubos Smídl (SPECOM, 2014)

Two-Layer Semantic Entity Detection and Utterance Validation for Spoken Dialogue Systems. - Adam Chýlek; Jan Svec; Lubos Smídl (TSD, 2014)

Inter-Annotator Agreement on Spontaneous Czech Language - Limits of Automatic Speech Recognition Accuracy. - Tomás Valenta; Lubos Smídl; Jan Svec; Daniel Soutner (TSD, 2014)

Semi-supervised Learning Algorithm for Binary Relevance Multi-label Classification. - Jan Svec (WISE Workshops, 2014)

WISE 2014 Challenge: Multi-label Classification of Print Media Articles to Topics. - Grigorios Tsoumakas; Apostolos Papadopoulos; Weining Qian; Stavros Vologiannidis; Alexander D'yakonov; Antti Puurula; Jesse Read; Jan Svec; Stanislav Semenov (WISE (2), 2014)

General framework for mining, processing and storing large amounts of electronic texts for language modeling purposes. - Jan Svec; Jan Lehecka; Pavel Ircing; Lucie Skorkovská; Ales Prazák; Jan Vavruska; Petr Stanislav; Jan Hoidekr (Lang. Resour. Evaluation, 2014)

Word-semantic lattices for spoken language understanding. - Jan Svec; Lubos Smídl; Tomás Valenta; Adam Chýlek; Pavel Ircing (ICASSP, 2015)

Hierarchical discriminative model for spoken language understanding based on convolutional neural network. - Jan Svec; Adam Chýlek; Lubos Smídl (INTERSPEECH, 2015)

Slavonic Corpus for Stylometry Research. - Jan Svec; Jan Rygl (RASLAN, 2015)

Improving Multi-label Document Classification of Czech News Articles. - Jan Lehecka; Jan Svec (TSD, 2015)

A study of different weighting schemes for spoken language understanding based on convolutional neural networks. - Jan Svec; Adam Chýlek; Lubos Smídl; Pavel Ircing (ICASSP, 2016)

A Multimodal Dialogue System for Air Traffic Control Trainees Based on Discrete-Event Simulation. - Lubos Smídl; Adam Chýlek; Jan Svec (INTERSPEECH, 2016)

An Engine for Online Video Search in Large Archives of the Holocaust Testimonies. - Petr Stanislav; Jan Svec; Pavel Ircing (INTERSPEECH, 2016)

An Automatic Training Tool for Air Traffic Control Training. - Petr Stanislav; Lubos Smídl; Jan Svec (INTERSPEECH, 2016)

Building Corpora for Stylometric Research. - Jan Svec; Jan Rygl (TSD, 2016)

Fast Subsequence Matching in Motion Capture Data. - Jan Sedmidubský; Pavel Zezula; Jan Svec (ADBIS, 2017)

Combining Textual and Speech Features in the NLI Task Using State-of-the-Art Machine Learning Techniques. - Pavel Ircing; Jan Svec; Zbynek Zajíc; Barbora Hladká; Martin Holub (BEA@EMNLP, 2017)

A Relevance Score Estimation for Spoken Term Detection Based on RNN-Generated Pronunciation Embeddings. - Jan Svec; Josef V. Psutka; Lubos Smídl; Jan Trmal (INTERSPEECH, 2017)

An Analysis of the RNN-Based Spoken Term Detection Training. - Jan Svec; Lubos Smídl; Josef V. Psutka (SPECOM, 2017)

On the Use of Grapheme Models for Searching in Large Spoken Archives. - Jan Svec; Josef V. Psutka; Jan Trmal; Lubas Smfdl; Pavel Ircing; Jan Sedmidubský (ICASSP, 2018)

Design and Development of Speech Corpora for Air Traffic Control Training. - Lubos Smídl; Jan Svec; Daniel Tihelka; Jindrich Matousek; Jan Romportl; Pavel Ircing (LREC, 2018)

Towards Processing of the Oral History Interviews and Related Printed Documents. - Zbynek Zajíc; Lucie Skorkovská; Petr Neduchal; Pavel Ircing; Josef V. Psutka; Marek Hrúz; Ales Prazák; Daniel Soutner; Jan Svec; Lukás Bures; Ludek Müller (LREC, 2018)

Towards Network Simplification for Low-Cost Devices by Removing Synapses. - Martin Bulín; Lubos Smídl; Jan Svec (SPECOM, 2018)

Semi-Supervised Training of DNN-Based Acoustic Model for ATC Speech Recognition. - Lubos Smídl; Jan Svec; Ales Prazák; Jan Trmal (SPECOM, 2018)

Learning to Interrupt the User at the Right Time in Incremental Dialogue Systems. - Adam Chýlek; Jan Svec; Lubos Smídl (TSD, 2018)

Multimodal Dialog with the MALACH Audiovisual Archive. - Adam Chýlek; Lubos Smídl; Jan Svec (INTERSPEECH, 2019)

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. - Stanislav Hes; Jan Kula; Jan Svec (ISGT Europe, 2019)

Increasing DER Hosting Capacity in LV Grids in the Czech Republic in Terms of European Project InterFlex. - Stanislav Hes; Jan Kula; Jan Svec (ISGT Europe, 2019)

On Using Stateful LSTM Networks for Key-Phrase Detection. - Martin Bulín; Lubos Smídl; Jan Svec (TSD, 2019)

Question-Answering Dialog System for Large Audiovisual Archives. - Adam Chýlek; Lubos Smídl; Jan Svec (TSD, 2019)

Air traffic control communication (ATCC) speech corpora and their use for ASR and TTS development. - Lubos Smídl; Jan Svec; Daniel Tihelka; Jindrich Matousek; Jan Romportl; Pavel Ircing (Lang. Resour. Evaluation, 2019)

BERT-Based Sentiment Analysis Using Distillation. - Jan Lehecka; Jan Svec; Pavel Ircing; Lubos Smídl (SLSP, 2020)

An Automated Pipeline for Robust Image Processing and Optical Character Recognition of Historical Documents. - Ivan Gruber; Pavel Ircing; Petr Neduchal; Marek Hrúz; Miroslav Hlavác; Zbynek Zajíc; Jan Svec; Martin Bulín (SPECOM, 2020)

Adjusting BERT's Pooling Layer for Large-Scale Multi-Label Text Classification. - Jan Lehecka; Jan Svec; Pavel Ircing; Lubos Smídl (TDS, 2020)

Automatic Correction of i/y Spelling in Czech ASR Output. - Jan Svec; Jan Lehecka; Lubos Smídl; Pavel Ircing (TDS, 2020)

Live TV Subtitling Through Respeaking. - Ales Prazák; Zdenek Loose; Josef V. Psutka; Vlasta Radová; Josef Psutka; Jan Svec (Interspeech, 2021)

T5G2P: Using Text-to-Text Transfer Transformer for Grapheme-to-Phoneme Conversion. - Markéta Rezácková; Jan Svec; Daniel Tihelka (Interspeech, 2021)

Spoken Term Detection and Relevance Score Estimation Using Dot-Product of Pronunciation Embeddings. - Jan Svec; Lubos Smídl; Josef V. Psutka; Ales Prazák (Interspeech, 2021)

Comparison of Czech Transformers on Text Classification Tasks. - Jan Lehecka; Jan Svec (SLSP, 2021)

Initial Experiments on Question Answering from the Intrinsic Structure of Oral History Archives. - Adam Chýlek; Jan Svec; Lubos Smídl (SPECOM, 2021)

OCR Improvements for Images of Multi-page Historical Documents. - Ivan Gruber; Marek Hrúz; Pavel Ircing; Petr Neduchal; Tomás Zítka; Miroslav Hlavác; Zbynek Zajíc; Jan Svec; Martin Bulín (SPECOM, 2021)

CNN-TDNN-Based Architecture for Speech Recognition Using Grapheme Models in Bilingual Czech-Slovak Task. - Josef V. Psutka; Jan Svec; Ales Prazák (TDS, 2021)

Transformer-Based Automatic Punctuation Prediction and Word Casing Reconstruction of the ASR Output. - Jan Svec; Jan Lehecka; Lubos Smídl; Pavel Ircing (TDS, 2021)

BCN2BRNO: ASR System Fusion for Albayzin 2022 Speech to Text Challenge. - Martin Kocour; Jahnavi Umesh; Martin Karafiát; Jan Svec; Fernando López; Jordi Luque; Karel Benes; Mireia Díez; Igor Szöke; Karel Veselý; Lukás Burget; Jan Cernocký (IberSPEECH, 2022)

Revisiting joint decoding based multi-talker speech recognition with DNN acoustic model. - Martin Kocour; Katerina Zmolíková; Lucas Ondel; Jan Svec; Marc Delcroix; Tsubasa Ochiai; Lukás Burget; Jan Cernocký (INTERSPEECH, 2022)

Exploring Capabilities of Monolingual Audio Transformers using Large Datasets in Automatic Speech Recognition of Czech. - Jan Lehecka; Jan Svec; Ales Prazák; Josef Psutka (INTERSPEECH, 2022)

Deep LSTM Spoken Term Detection using Wav2Vec 2.0 Recognizer. - Jan Svec; Jan Lehecka; Lubos Smídl (INTERSPEECH, 2022)

Analysis of Impact of Emotions on Target Speech Extraction and Speech Separation. - Jan Svec; Katerina Zmolíková; Martin Kocour; Marc Delcroix; Tsubasa Ochiai; Ladislav Mosner; Jan Honza Cernocký (IWAENC, 2022)

Automatic Grammar Correction of Commas in Czech Written Texts: Comparative Study. - Jakub Machura; Adam Frémund; Jan Svec (TSD, 2022)

Transfer Learning of Transformers for Spoken Language Understanding. - Jan Svec; Adam Frémund; Martin Bulín; Jan Lehecka (TSD, 2022)

Evaluation of Wav2Vec Speech Recognition for Speakers with Cognitive Disorders. - Jan Svec; Filip Polák; Ales Bartos; Michaela Zapletalová; Martin Víta (TSD, 2022)

Exploring Capabilities of Monolingual Audio Transformers using Large Datasets in Automatic Speech Recognition of Czech. - Jan Lehecka; Jan Svec; Ales Prazák; Josef V. Psutka (CoRR, 2022)

Voice-Interactive Learning Dialogue on a Low-Cost Device. - Martin Bulín; Martin Adamec; Petr Neduchal; Marek Hrúz; Jan Svec (ACPR (3), 2023)

Will XAI Provide Real Explanation or Just a Plausible Rationalization? - Pavel Ircing; Jan Svec (ACPR (3), 2023)

T5G2P: Multilingual Grapheme-to-Phoneme Conversion with Text-to-Text Transfer Transformer. - Markéta Rezácková; Adam Frémund; Jan Svec; Jindrich Matousek (ACPR (3), 2023)

Transformer-Based Encoder-Encoder Architecture for Spoken Term Detection. - Jan Svec; Lubos Smídl; Jan Lehecka (ACPR (3), 2023)

The System for Efficient Indexing and Search in the Large Archives of Scanned Historical Documents. - Martin Bulín; Jan Svec; Pavel Ircing (ECIR (3), 2023)

Ensemble of Deep Neural Network Models for MOS Prediction. - Marie Kunesová; Jindrich Matousek; Jan Lehecka; Jan Svec; Josef Michálek; Daniel Tihelka; Martin Bulín; Zdenek Hanzlícek; Markéta Rezácková (ICASSP, 2023)

Transformer-based Speech Recognition Models for Oral History Archives in English, German, and Czech. - Jan Lehecka; Jan Svec; Josef V. Psutka; Pavel Ircing (INTERSPEECH, 2023)

Asking Questions: an Innovative Way to Interact with Oral History Archives. - Jan Svec; Martin Bulín; Adam Frémund; Filip Polák (INTERSPEECH, 2023)

Asking Questions Framework for Oral History Archives. - Jan Svec; Martin Bulín; Adam Frémund; Filip Polák (ECIR (3), 2024)

Zero-shot Out-of-domain is No Joke: Lessons Learned in the VoiceMOS 2023 MOS Prediction Challenge. - Marie Kunesová; Jan Lehecka; Josef Michálek; Jindrich Matousek; Jan Svec (INTERSPEECH, 2024)

Semantic Search and Filtering with AI Agents. - Martin Bulín; Jan Svec; Filip Polák; Lubos Smídl (ECIR (5), 2025)

Three Years of VoiceMOS Challenges: Lessons Learned by the UWB-NTIS-TTS Team. - Marie Kunesová; Jindrich Matousek; Jan Lehecka; Jan Svec; Daniel Tihelka; Zdenek Hanzlícek (IEEE Access, 2025)

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs. - Simon Sedlácek; Bolaji Yusuf; Jan Svec; Pradyoth Hegde; Santosh Kesiraju; Oldrich Plchot; Jan Cernocký (CoRR, 2025)

Factors affecting the in-context learning abilities of LLMs for dialogue state tracking. - Pradyoth Hegde; Santosh Kesiraju; Jan Svec; Simon Sedlácek; Bolaji Yusuf; Oldrich Plchot; Deepak K. T; Jan Cernocký (CoRR, 2025)