Karel Beneš

Publikace

• 2024

  BENEŠ Karel, KOCOUR Martin a BURGET Lukáš. Hystoc: Obtaining Word Confidences for Fusion of End-To-End ASR Systems. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Seoul: IEEE Signal Processing Society, 2024, s. 11276-11280. ISBN 979-8-3503-4485-1.
  Detail

• 2023

  KESIRAJU Santosh, BENEŠ Karel, TIKHONOV Maksim a ČERNOCKÝ Jan. BUT Systems for IWSLT 2023 Marathi - Hindi Low Resource Speech Translation Task. In: 20th International Conference on Spoken Language Translation, IWSLT 2023 - Proceedings of the Conference. Toronto (in-person and online): Association for Computational Linguistics, 2023, s. 227-234. ISBN 978-1-959429-84-5.
  Detail

  KIŠŠ Martin, HRADIŠ Michal, BENEŠ Karel, BUCHAL Petr a KULA Michal. SoftCTC-semi-supervised learning for text recognition using soft pseudo-labels. International Journal on Document Analysis and Recognition (IJDAR), roč. 2024, č. 27, 2023, s. 177-193. ISSN 1433-2825.
  Detail

• 2022

  KOCOUR Martin, UMESH Jahnavi, KARAFIÁT Martin, ŠVEC Ján, LOPEZ Fernando, BENEŠ Karel, DIEZ Sánchez Mireia, SZŐKE Igor, LUQUE Jordi, VESELÝ Karel, BURGET Lukáš a ČERNOCKÝ Jan. BCN2BRNO: ASR System Fusion for Albayzin 2022 Speech to Text Challenge. In: Proceedings of IberSpeech 2022. Granada: International Speech Communication Association, 2022, s. 276-280.
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  KIŠŠ Martin, KOHÚT Jan, BENEŠ Karel a HRADIŠ Michal. Importance of Textlines in Historical Document Classification. In: Uchida, S., Barney, E., Eglin, V. (eds) Document Analysis Systems. Lecture Notes in Computer Science, roč. 13237. La Rochelle: Springer Nature Switzerland AG, 2022, s. 158-170. ISBN 978-3-031-06554-5.
  Detail

  DVOŘÁKOVÁ Martina, HRADIŠ Michal, ŽABIČKA Petr, KOHÚT Jan, KIŠŠ Martin a BENEŠ Karel. Využití PERO OCR při přepisu rukopisů. Archivní časopis, roč. 72, č. 1, 2022, s. 14-27. ISSN 0004-0398.
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• 2021

  KIŠŠ Martin, BENEŠ Karel a HRADIŠ Michal. AT-ST: Self-Training Adaptation Strategy for OCR in Domains with Limited Transcriptions. In: Lladós J., Lopresti D., Uchida S. (eds) Document Analysis and Recognition - ICDAR 2021. Lecture Notes in Computer Science, roč. 12824. Lausanne: Springer Nature Switzerland AG, 2021, s. 463-477. ISBN 978-3-030-86336-4.
  Detail

  BENEŠ Karel a BURGET Lukáš. Text Augmentation for Language Models in High Error Recognition Scenario. In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Brno: International Speech Communication Association, 2021, s. 1872-1876. ISSN 1990-9772.
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• 2020

  ŽMOLÍKOVÁ Kateřina, KOCOUR Martin, LANDINI Federico Nicolás, BENEŠ Karel, KARAFIÁT Martin, VYDANA Hari K., LOZANO Díez Alicia, PLCHOT Oldřich, BASKAR Murali K., ŠVEC Ján, MOŠNER Ladislav, MALENOVSKÝ Vladimír, BURGET Lukáš, YUSUF Bolaji, NOVOTNÝ Ondřej, GRÉZL František, SZŐKE Igor a ČERNOCKÝ Jan. BUT System for CHiME-6 Challenge. In: Proceedings of CHiME 2020 Virtual Workshop. Barcelona: University of Sheffield, 2020, s. 1-3.
  Detail

• 2019

  BENEŠ Karel, IRIE Kazuki, BECK Eugen, SCHLÜTER Ralf a NEY Hermann. Unsupervised Language Model Adaptation for Speech Recognition with no Extra Resources. In: Proceedings of DAGA 2019. Rostock: Deutsche Gesellschaft für Akustik (DEGA), DEGA Head office, 2019, s. 954-957. ISBN 978-3-939296-14-0.
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• 2018

  BENEŠ Karel, KESIRAJU Santosh a BURGET Lukáš. i-vectors in language modeling: An efficient way of domain adaptation for feed-forward models. In: Proceedings of Interspeech 2018. Hyderabad: International Speech Communication Association, 2018, s. 3383-3387. ISSN 1990-9772.
  Detail

• 2017

  VESELÝ Karel, BASKAR Murali K., DIEZ Sánchez Mireia a BENEŠ Karel. MGB-3 but system: Low-resource ASR on Egyptian YouTube data. In: Proceedings of ASRU 2017. Okinawa: IEEE Signal Processing Society, 2017, s. 368-373. ISBN 978-1-5090-4788-8.
  Detail

  BENEŠ Karel, BASKAR Murali K. a BURGET Lukáš. Residual Memory Networks in Language Modeling: Improving the Reputation of Feed-Forward Networks. In: Proceedings of Interspeeech 2017. Stockholm: International Speech Communication Association, 2017, s. 284-288. ISSN 1990-9772.
  Detail