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Radek Safarík
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2020 – today
- 2021
- [j1]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: 101180 (2021)
2010 – 2019
- 2018
- [c10]Lukás Mateju, Petr Cerva, Jindrich Zdánský, Radek Safarík:
Using Deep Neural Networks for Identification of Slavic Languages from Acoustic Signal. INTERSPEECH 2018: 1803-1807 - [c9]Radek Safarík, Lukás Mateju, Lenka Weingartová:
The Influence of Errors in Phonetic Annotations on Performance of Speech Recognition System. TSD 2018: 419-427 - [c8]Radek Safarík, Lukás Mateju:
Automatic Development of ASR System for an Under-Resourced Language. TSP 2018: 1-4 - 2017
- [c7]Radek Safarík, Jan Nouza:
Unified Approach to Development of ASR Systems for East Slavic Languages. SLSP 2017: 193-203 - [c6]Jan Nouza, Radek Safarík:
Parliament Archives Used for Automatic Training of Multi-lingual Automatic Speech Recognition Systems. TSD 2017: 174-182 - [c5]Radek Safarík, Lukás Mateju:
The Impact of Inaccurate Phonetic Annotations on Speech Recognition Performance. TSD 2017: 402-410 - 2016
- [c4]Jan Nouza, Radek Safarík, Petr Cerva:
ASR for South Slavic Languages Developed in Almost Automated Way. INTERSPEECH 2016: 3868-3872 - [c3]Marek Bohác, Lukás Mateju, Michal Rott, Radek Safarík:
Automatic Syllabification and Syllable Timing of Automatically Recognized Speech - for Czech. TSD 2016: 540-547 - [c2]Radek Safarík, Lukás Mateju:
Impact of phonetic annotation precision on automatic speech recognition systems. TSP 2016: 311-314 - 2015
- [c1]Jan Nouza, Petr Cerva, Radek Safarík:
Cross-Lingual Adaptation of Broadcast Transcription System to Polish Language Using Public Data Sources. LTC 2015: 31-41
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