Lukás Mateju

According to our database, Lukás Mateju authored at least 17 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Developing State-of-the-Art End-to-End ASR for Norwegian.

Jan Nouza, Lukás Mateju, Petr Cerva, Jindrich Zdánský

Proceedings of the Text, Speech, and Dialogue - 26th International Conference, 2023

Online Speaker Diarization Using Optimized SE-ResNet Architecture.

Frantisek Kynych, Jindrich Zdánský, Petr Cerva, Lukás Mateju

Proceedings of the Text, Speech, and Dialogue - 26th International Conference, 2023

2022

Overlapped Speech Detection in Broadcast Streams Using X-vectors.

Lukás Mateju, Frantisek Kynych, Petr Cerva, Jirí Málek, Jindrich Zdánský

Proceedings of the Interspeech 2022, 2022

2021

An empirical assessment of deep learning approaches to task-oriented dialog management.

Lukás Mateju, David Griol, Zoraida Callejas, José Manuel Molina, Araceli Sanchis

Neurocomputing, 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

Identification of Scandinavian Languages from Speech Using Bottleneck Features and X-Vectors.

Petr Cerva, Lukás Mateju, Frantisek Kynych, Jindrich Zdánský, Jan Nouza

Proceedings of the Text, Speech, and Dialogue - 24th International Conference, 2021

Using X-Vectors for Speech Activity Detection in Broadcast Streams.

Lukás Mateju, Frantisek Kynych, Petr Cerva, Jindrich Zdánský, Jirí Málek

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2019

An Approach to Online Speaker Change Point Detection Using DNNs and WFSTs.

Lukás Mateju, Petr Cerva, Jindrich Zdánský

Proceedings of the Interspeech 2019, 2019

2018

Automatic Development of ASR System for an Under-Resourced Language.

Radek Safarík, Lukás Mateju

Proceedings of the 41st International Conference on Telecommunications and Signal Processing, 2018

The Influence of Errors in Phonetic Annotations on Performance of Speech Recognition System.

Radek Safarík, Lukás Mateju, Lenka Weingartová

Proceedings of the Text, Speech, and Dialogue - 21st International Conference, 2018

Using Deep Neural Networks for Identification of Slavic Languages from Acoustic Signal.

Lukás Mateju, Petr Cerva, Jindrich Zdánský, Radek Safarík

Proceedings of the Interspeech 2018, 2018

2017

The Impact of Inaccurate Phonetic Annotations on Speech Recognition Performance.

Radek Safarík, Lukás Mateju

Proceedings of the Text, Speech, and Dialogue - 20th International Conference, 2017

Speech Activity Detection in online broadcast transcription using Deep Neural Networks and Weighted Finite State Transducers.

Lukás Mateju, Petr Cerva, Jindrich Zdánský, Jirí Málek

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Impact of phonetic annotation precision on automatic speech recognition systems.

Radek Safarík, Lukás Mateju

Proceedings of the 39th International Conference on Telecommunications and Signal Processing, 2016

Automatic Syllabification and Syllable Timing of Automatically Recognized Speech - for Czech.

Marek Bohác, Lukás Mateju, Michal Rott, Radek Safarík

Proceedings of the Text, Speech, and Dialogue - 19th International Conference, 2016

Study on the Use of Deep Neural Networks for Speech Activity Detection in Broadcast Recordings.

Lukás Mateju, Petr Cerva, Jindrich Zdánský

Proceedings of the 13th International Joint Conference on e-Business and Telecommunications (ICETE 2016), 2016

Investigation into the Use of WFSTs and DNNs for Speech Activity Detection in Broadcast Data Transcription.

Lukás Mateju, Petr Cerva, Jindrich Zdánský

Proceedings of the E-Business and Telecommunications - 13th International Joint Conference, 2016