Ing.

Karel Beneš

Ph.D. student

+420 54114 1297
ibenes@fit.vut.cz
L230.1 Office
143630/BUT personal ID

Publications

  • 2023

    KESIRAJU Santosh, BENEŠ Karel, TIKHONOV Maksim and 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, pp. 227-234. ISBN 978-1-959429-84-5.
    Detail

    KIŠŠ Martin, HRADIŠ Michal, BENEŠ Karel, BUCHAL Petr and KULA Michal. SoftCTC-semi-supervised learning for text recognition using soft pseudo-labels. International Journal on Document Analysis and Recognition (IJDAR), vol. 2024, no. 99, 2023, pp. 1-17. 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 and ČERNOCKÝ Jan. BCN2BRNO: ASR System Fusion for Albayzin 2022 Speech to Text Challenge. In: Proceedings of IberSpeech 2022. Granada: International Speech Communication Association, 2022, pp. 276-280.
    Detail

    KIŠŠ Martin, KOHÚT Jan, BENEŠ Karel and 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 Importance of Textlines in Historical Document Classification.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, vol. 13237. La Rochelle: Springer Nature Switzerland AG, 2022, pp. 158-170. ISBN 978-3-031-06554-5.
    Detail

    DVOŘÁKOVÁ Martina, HRADIŠ Michal, ŽABIČKA Petr, KOHÚT Jan, KIŠŠ Martin and BENEŠ Karel. Využití PERO OCR při přepisu rukopisů. Archivní časopis, vol. 72, no. 1, 2022, pp. 14-27. ISSN 0004-0398.
    Detail

  • 2021

    KIŠŠ Martin, BENEŠ Karel and 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, vol. 12824. Lausanne: Springer Nature Switzerland AG, 2021, pp. 463-477. ISBN 978-3-030-86336-4.
    Detail

    BENEŠ Karel and 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, pp. 1872-1876. ISSN 1990-9772.
    Detail

  • 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 and ČERNOCKÝ Jan. BUT System for CHiME-6 Challenge. In: Proceedings of CHiME 2020 Virtual Workshop. Barcelona: University of Sheffield, 2020, pp. 1-3.
    Detail

  • 2019

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

  • 2018

    BENEŠ Karel, KESIRAJU Santosh and 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, pp. 3383-3387. ISSN 1990-9772.
    Detail

  • 2017

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

    BENEŠ Karel, BASKAR Murali K. and 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, pp. 284-288. ISSN 1990-9772.
    Detail

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