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2020 – today
- 2024
[j2]Martin Kiss
, Michal Hradis, Karel Benes, Petr Buchal, Michal Kula:
SoftCTC - semi-supervised learning for text recognition using soft pseudo-labels. Int. J. Document Anal. Recognit. 27(2): 177-193 (2024)- [c9]Karel Benes, Martin Kocour, Lukás Burget:
Hystoc: Obtaining Word Confidences for Fusion of End-To-End ASR Systems. ICASSP 2024: 11276-11280 - 2023
- [c8]Santosh Kesiraju, Karel Benes, Maksim Tikhonov, Jan Cernocký:
BUT Systems for IWSLT 2023 Marathi - Hindi Low Resource Speech Translation Task. IWSLT@ACL 2023: 227-234 - [i6]Karel Benes, Martin Kocour, Lukás Burget:
Hystoc: Obtaining word confidences for fusion of end-to-end ASR systems. CoRR abs/2305.12579 (2023) - [i5]Martin Karafiát, Karel Veselý, Igor Szöke, Ladislav Mosner, Karel Benes, Marcin Witkowski, Germán Barchi, Leonardo Pepino:
BUT CHiME-7 system description. CoRR abs/2310.11921 (2023) - 2022
- [c7]Martin Kiss, Jan Kohút, Karel Benes, Michal Hradis:
Importance of Textlines in Historical Document Classification. DAS 2022: 158-170 - [c6]Martin Kocour, Jahnavi Umesh, Martin Karafiát, Jan Svec, Fernando López, Jordi Luque, Karel Benes, Mireia Díez, Igor Szöke, Karel Veselý, Lukás Burget, Jan Cernocký:
BCN2BRNO: ASR System Fusion for Albayzin 2022 Speech to Text Challenge. IberSPEECH 2022: 276-280 - [i4]Martin Kiss, Jan Kohút, Karel Benes, Michal Hradis:
Importance of Textlines in Historical Document Classification. CoRR abs/2201.09575 (2022) - [i3]Martin Kiss, Michal Hradis, Karel Benes, Petr Buchal, Michal Kula:
SoftCTC $\unicode{x2013}$ Semi-Supervised Learning for Text Recognition using Soft Pseudo-Labels. CoRR abs/2212.02135 (2022) - 2021
- [c5]Martin Kiss, Karel Benes, Michal Hradis:
AT-ST: Self-training Adaptation Strategy for OCR in Domains with Limited Transcriptions. ICDAR (4) 2021: 463-477 - [c4]Karel Benes, Lukás Burget:
Text Augmentation for Language Models in High Error Recognition Scenario. Interspeech 2021: 1872-1876 - [i2]Martin Kiss, Karel Benes, Michal Hradis:
AT-ST: Self-Training Adaptation Strategy for OCR in Domains with Limited Transcriptions. CoRR abs/2104.13037 (2021) - 2020
- [i1]Karel Benes, Lukás Burget:
Text Augmentation for Language Models in High Error Recognition Scenario. CoRR abs/2011.06056 (2020)
2010 – 2019
- 2018
- [c3]Karel Benes, Santosh Kesiraju, Lukás Burget:
i-Vectors in Language Modeling: An Efficient Way of Domain Adaptation for Feed-Forward Models. INTERSPEECH 2018: 3383-3387 - 2017
- [c2]Karel Veselý, Murali Karthick Baskar, Mireia Díez, Karel Benes:
MGB-3 but system: Low-resource ASR on Egyptian YouTube data. ASRU 2017: 368-373 - [c1]Karel Benes, Murali Karthick Baskar, Lukás Burget:
Residual Memory Networks in Language Modeling: Improving the Reputation of Feed-Forward Networks. INTERSPEECH 2017: 284-288
1970 – 1979
- 1979
- [j1]Karel Benes:
On accuracy and development of outputs in roots modelling. Kybernetika 15(6): 468-481 (1979)
Coauthor Index
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