Publications

  • 2018

    PULUGUNDLA Bhargav, BASKAR Murali K., KESIRAJU Santosh, EGOROVA Ekaterina, KARAFIÁT Martin, BURGET Lukáš and ČERNOCKÝ Jan. BUT system for low resource Indian language ASR. In: Proceedings of Interspeech 2018. Hyderabad: International Speech Communication Association, 2018, pp. 3182-3186. ISSN 1990-9772.
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    EGOROVA Ekaterina and BURGET Lukáš. Out-of-Vocabulary Word Recovery Using FST-Based Subword Unit Clustering in a Hybrid ASR System. In: Proceedings of ICASSP 2018. Calgary: IEEE Signal Processing Society, 2018, pp. 5919-5923. ISBN 978-1-5386-4658-8.
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  • 2016

    EGOROVA Ekaterina and SERRANO Jordi Lugue. Semi-Supervised Training of Language Model on Spanish Conversational Telephone Speech Data. In: Procedia Computer Science. Yogyakarta: Elsevier Science, 2016, pp. 114-120. ISSN 1877-0509.
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    GRÉZL František, EGOROVA Ekaterina and KARAFIÁT Martin. Study of Large Data Resources for Multilingual Training and System Porting. In: Procedia Computer Science. Yogyakarta: Elsevier Science, 2016, pp. 15-22. ISSN 1877-0509.
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  • 2014

    GRÉZL František, EGOROVA Ekaterina and KARAFIÁT Martin. Further Investigation into Multilingual Training and Adaptation of Stacked Bottle-neck Neural Network Structure. In: Proceedings of 2014 Spoken Language Technology Workshop. South Lake Tahoe, Nevada: IEEE Signal Processing Society, 2014, pp. 48-53. ISBN 978-1-4799-7129-9.
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    EGOROVA Ekaterina. Multi-task Neural Networks For Speech Recognition. In: Proceedings of the 20th Student Conference, EEICT 2014. Volume 2. Brno: Brno University of Technology, 2014, pp. 24-26. ISBN 978-80-214-4923-7.
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  • 2013

    EGOROVA Ekaterina, VESELÝ Karel, KARAFIÁT Martin, JANDA Miloš and ČERNOCKÝ Jan. Manual and Semi-Automatic Approaches to Building a Multilingual Phoneme Set. In: Proceedings of ICASSP 2013. Vancouver: IEEE Signal Processing Society, 2013, pp. 7324-7328. ISBN 978-1-4799-0355-9.
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  • 2012

    VESELÝ Karel, KARAFIÁT Martin, GRÉZL František, JANDA Miloš and EGOROVA Ekaterina. The Language-Independent Bottleneck Features. In: Proceedings of IEEE 2012 Workshop on Spoken Language Technology. Miami: IEEE Signal Processing Society, 2012, pp. 336-341. ISBN 978-1-4673-5124-9.
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