Investigation into the Use of WFSTs and DNNs for Speech Activity Detection in Broadcast Data Transcription. - Lukás Mateju; Petr Cerva; Jindrich Zdánský (ICETE (Selected Papers), 2016)

Study on the Use of Deep Neural Networks for Speech Activity Detection in Broadcast Recordings. - Lukás Mateju; Petr Cerva; Jindrich Zdánský (SIGMAP, 2016)

Automatic Syllabification and Syllable Timing of Automatically Recognized Speech - for Czech. - Marek Bohác; Lukás Mateju; Michal Rott; Radek Safarík (TSD, 2016)

Impact of phonetic annotation precision on automatic speech recognition systems. - Radek Safarík; Lukás Mateju (TSP, 2016)

Speech Activity Detection in online broadcast transcription using Deep Neural Networks and Weighted Finite State Transducers. - Lukás Mateju; Petr Cerva; Jindrich Zdánský; Jirí Málek (ICASSP, 2017)

The Impact of Inaccurate Phonetic Annotations on Speech Recognition Performance. - Radek Safarík; Lukás Mateju (TSD, 2017)

Using Deep Neural Networks for Identification of Slavic Languages from Acoustic Signal. - Lukás Mateju; Petr Cerva; Jindrich Zdánský; Radek Safarík (INTERSPEECH, 2018)

The Influence of Errors in Phonetic Annotations on Performance of Speech Recognition System. - Radek Safarík; Lukás Mateju; Lenka Weingartová (TSD, 2018)

Automatic Development of ASR System for an Under-Resourced Language. - Radek Safarík; Lukás Mateju (TSP, 2018)

An Approach to Online Speaker Change Point Detection Using DNNs and WFSTs. - Lukás Mateju; Petr Cerva; Jindrich Zdánský (INTERSPEECH, 2019)

Using X-Vectors for Speech Activity Detection in Broadcast Streams. - Lukás Mateju; Frantisek Kynych; Petr Cerva; Jindrich Zdánský; Jirí Málek (Interspeech, 2021)

Identification of Scandinavian Languages from Speech Using Bottleneck Features and X-Vectors. - Petr Cerva; Lukás Mateju; Frantisek Kynych; Jindrich Zdánský; Jan Nouza (TDS, 2021)

Identification of related languages from spoken data: Moving from off-line to on-line scenario. - Petr Cerva; Lukás Mateju; Jindrich Zdánský; Radek Safarík; Jan Nouza (Comput. Speech Lang., 2021)

An empirical assessment of deep learning approaches to task-oriented dialog management. - Lukás Mateju; David Griol; Zoraida Callejas; José Manuel Molina 001; Araceli Sanchis (Neurocomputing, 2021)

Overlapped Speech Detection in Broadcast Streams Using X-vectors. - Lukás Mateju; Frantisek Kynych; Petr Cerva; Jirí Málek; Jindrich Zdánský (INTERSPEECH, 2022)

Combining Multilingual Resources and Models to Develop State-of-the-Art E2E ASR for Swedish. - Lukás Mateju; Jan Nouza; Petr Cerva; Jindrich Zdánský; Frantisek Kynych (INTERSPEECH, 2023)

Online Speaker Diarization Using Optimized SE-ResNet Architecture. - Frantisek Kynych; Jindrich Zdánský; Petr Cerva; Lukás Mateju (TSD, 2023)

Developing State-of-the-Art End-to-End ASR for Norwegian. - Jan Nouza; Lukás Mateju; Petr Cerva; Jindrich Zdánský (TSD, 2023)

Combining multilingual resources to enhance end-to-end speech recognition systems for Scandinavian languages. - Lukás Mateju; Jan Nouza; Petr Cerva; Jindrich Zdánský (Speech Commun., 2025)