Lukás Mateju

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 19

Top Topics

Speaker Diarization

Finite State Transducers

Speech Activity Detection

Top Venues

Publications

Jan Nouza, Lukás Mateju, Petr Cerva, Jindrich Zdánský
Developing State-of-the-Art End-to-End ASR for Norwegian. TSD (2023)
Frantisek Kynych, Jindrich Zdánský, Petr Cerva, Lukás Mateju
Online Speaker Diarization Using Optimized SE-ResNet Architecture. TSD (2023)
Lukás Mateju, Jan Nouza, Petr Cerva, Jindrich Zdánský, Frantisek Kynych
Combining Multilingual Resources and Models to Develop State-of-the-Art E2E ASR for Swedish. INTERSPEECH (2023)
Lukás Mateju, Frantisek Kynych, Petr Cerva, Jirí Málek, Jindrich Zdánský
Overlapped Speech Detection in Broadcast Streams Using X-vectors. INTERSPEECH (2022)
Petr Cerva, Lukás Mateju, Frantisek Kynych, Jindrich Zdánský, Jan Nouza
Identification of Scandinavian Languages from Speech Using Bottleneck Features and X-Vectors. TDS (2021)
Lukás Mateju, Frantisek Kynych, Petr Cerva, Jindrich Zdánský, Jirí Málek
Using X-Vectors for Speech Activity Detection in Broadcast Streams. Interspeech (2021)
Lukás Mateju, David Griol, Zoraida Callejas, José Manuel Molina, Araceli Sanchis
An empirical assessment of deep learning approaches to task-oriented dialog management. CoRR (2021)
Lukás Mateju, David Griol, Zoraida Callejas, José Manuel Molina, Araceli Sanchis
An empirical assessment of deep learning approaches to task-oriented dialog management. Neurocomputing 439 (2021)
Petr Cerva, Lukás Mateju, Jindrich Zdánský, Radek Safarík, Jan Nouza
Identification of related languages from spoken data: Moving from off-line to on-line scenario. Comput. Speech Lang. 68 (2021)
Lukás Mateju, Petr Cerva, Jindrich Zdánský
An Approach to Online Speaker Change Point Detection Using DNNs and WFSTs. INTERSPEECH (2019)
Radek Safarík, Lukás Mateju
Automatic Development of ASR System for an Under-Resourced Language. TSP (2018)
Lukás Mateju, Petr Cerva, Jindrich Zdánský, Radek Safarík
Using Deep Neural Networks for Identification of Slavic Languages from Acoustic Signal. INTERSPEECH (2018)
Radek Safarík, Lukás Mateju, Lenka Weingartová
The Influence of Errors in Phonetic Annotations on Performance of Speech Recognition System. TSD (2018)
Radek Safarík, Lukás Mateju
The Impact of Inaccurate Phonetic Annotations on Speech Recognition Performance. TSD (2017)
Lukás Mateju, Petr Cerva, Jindrich Zdánský, Jirí Málek
Speech Activity Detection in online broadcast transcription using Deep Neural Networks and Weighted Finite State Transducers. ICASSP (2017)
Marek Bohác, Lukás Mateju, Michal Rott, Radek Safarík
Automatic Syllabification and Syllable Timing of Automatically Recognized Speech - for Czech. TSD (2016)
Lukás Mateju, Petr Cerva, Jindrich Zdánský
Investigation into the Use of WFSTs and DNNs for Speech Activity Detection in Broadcast Data Transcription. ICETE (Selected Papers) (2016)
Radek Safarík, Lukás Mateju
Impact of phonetic annotation precision on automatic speech recognition systems. TSP (2016)
Lukás Mateju, Petr Cerva, Jindrich Zdánský
Study on the Use of Deep Neural Networks for Speech Activity Detection in Broadcast Recordings. SIGMAP (2016)