Lukás Mateju

According to our database1, Lukás Mateju authored at least 18 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Developing State-of-the-Art End-to-End ASR for Norwegian.
Proceedings of the Text, Speech, and Dialogue - 26th International Conference, 2023

Online Speaker Diarization Using Optimized SE-ResNet Architecture.
Proceedings of the Text, Speech, and Dialogue - 26th International Conference, 2023

Combining Multilingual Resources and Models to Develop State-of-the-Art E2E ASR for Swedish.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022
Overlapped Speech Detection in Broadcast Streams Using X-vectors.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021
An empirical assessment of deep learning approaches to task-oriented dialog management.
Neurocomputing, 2021

Identification of related languages from spoken data: Moving from off-line to on-line scenario.
Comput. Speech Lang., 2021

Identification of Scandinavian Languages from Speech Using Bottleneck Features and X-Vectors.
Proceedings of the Text, Speech, and Dialogue - 24th International Conference, 2021

Using X-Vectors for Speech Activity Detection in Broadcast Streams.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2019
An Approach to Online Speaker Change Point Detection Using DNNs and WFSTs.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018
Automatic Development of ASR System for an Under-Resourced Language.
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.
Proceedings of the Text, Speech, and Dialogue - 21st International Conference, 2018

Using Deep Neural Networks for Identification of Slavic Languages from Acoustic Signal.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2017
The Impact of Inaccurate Phonetic Annotations on Speech Recognition Performance.
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.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Impact of phonetic annotation precision on automatic speech recognition systems.
Proceedings of the 39th International Conference on Telecommunications and Signal Processing, 2016

Automatic Syllabification and Syllable Timing of Automatically Recognized Speech - for Czech.
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.
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.
Proceedings of the E-Business and Telecommunications - 13th International Joint Conference, 2016


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