Automatic Topic Identification for Large Scale Language Modeling Data Filtering. - Lucie Skorkovská; Pavel Ircing; Ales Prazák; Jan Lehecka (TSD, 2011)

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

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)

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

Online LDA-Based Language Model Adaptation. - Jan Lehecka; Ales Prazák (TSD, 2018)

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

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

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

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)

Transformer-Based Automatic Speech Recognition of Formal and Colloquial Czech in MALACH Project. - Jan Lehecka; Josef V. Psutka; Josef Psutka (TSD, 2022)

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

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

Transfer Learning of Transformer-Based Speech Recognition Models from Czech to Slovak. - Jan Lehecka; Josef V. Psutka; Josef Psutka (TSD, 2023)

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)

A Comparative Analysis of Bilingual and Trilingual Wav2Vec Models for Automatic Speech Recognition in Multilingual Oral History Archives. - Jan Lehecka; Josef V. Psutka; Lubos Smídl; Pavel Ircing; Josef Psutka (INTERSPEECH, 2024)

Zero-Shot vs. Few-Shot Multi-speaker TTS Using Pre-trained Czech SpeechT5 Model. - Jan Lehecka; Zdenek Hanzlícek; Jindrich Matousek; Daniel Tihelka (TSD (2), 2024)

Speech Technology Services for Oral History Research. - Christoph Draxler; Henk van den Heuvel; Arjan van Hessen; Pavel Ircing; Jan Lehecka (CoRR, 2024)

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)