Borysowski, Daniel. “Web crawling dla celów lingwistycznych. Wybrane aspekty gromadzenia i analizy danych tekstowych na przykładzie rosyjskojęzycznych newsów internetowych.” Prace Językoznawcze 2021, Vol. XXIII/3: 87–104.
Google Scholar
Federico, Marcello, and Bertoldi, Nicola, and Cettolo, Mauro. IRSTLM: an Open Source Toolkit for Handling Large Scale Language Models. Proceedings of Interspeech. Brisbane 2008: 1618–1621.
Google Scholar
James, William. Talks to Teachers on Psychology: And to Students on Some of Life’s Ideals. New York: Holt, 1889.
Google Scholar
Jurafsky, Dan, and Martin, James H. Speech and Language Processing. An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Third Edition draft, 2021 <https://web.stanford.edu/~jurafsky/slp3/ed3book_sep212021.pdf>.
Google Scholar
Justo, Raquel, and Saz, Oscar, and Miguel, Antonio, and Torres, M.I., and Lleida, Eduardo. “Improving Language Models in Speech-Based Human-Machine Interaction.” International Journal of Advanced Robotic Systems 2013, Vol. 10 (87): 1–11 <https://www.researchgate.net/publication/258225996_Improving_Language_Models_in_Speech-Based_Human-Machine_Interaction>.
Google Scholar
Karpov, Alexey, and Markov, Konstantin, and Kipyatkova, Irina, and Vazhenina, Daria, and Ronzhin, Andrey. “Large vocabulary Russian speech recognition using syntactico-statistical language modeling.” Speech Communication 2013, Vol. 56: 213–228.
Google Scholar
Kipyatkova, Irina and Karpov, Alexey. “Study of Morphological Factors of Factored Language Models for Russian ASR.” Ronzhin, Andrey et al. (eds.). Speech And Computer. Switzerland: Springer, 2014, 451–458.
Google Scholar
Kipyatkova, Irina, and Karpov, Alexey. “Recurrent Neural Network-based Language Modeling for an Automatic Russian Speech Recognition System.” Balandin, Sergey et al. (eds.). Proceedings of AINL-ISMW FRUCT Conference. St. Petersburg, 2015, 33–38.
Google Scholar
Laptev, Aleksandr, and Korostik, Roman, and Svischev, Aleksey, and Andrusenko, Andrei, and Medennikov, Ivan, and Rybin, Sergey. You Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation, 2020 <https://arxiv.org/abs/2005.07157v2>.
Google Scholar
Mikolov, Tomas et al. Distributed Representations of Words and Phrases and their Compositionality, 2013 <https://arxiv.org/abs/1310.4546v1>.
Google Scholar
Mikolov, Tomas et al. Efficient Estimation of Word Representations in Vector Space, 2013 <https://arxiv.org/abs/1301.3781v3>.
Google Scholar
O’Shaughnessy, Douglas. “Invited paper: Automatic speech recognition: History, methods and challenges.” Pattern Recognition 2008, 41: 2966–2967 <https://www.sciencedirect.com/science/article/abs/pii/S0031320308001799>.
Google Scholar
Raffel, Collin, and Shazeer, Noam, and Roberts, Adam, and Lee, Katherine, and Narang, Sharan, and Matena, Michael, and Zhou, Yanqi, and Li, Wei, and Liu, Peter J. “Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.” Journal of Machine Learning Research 2020, Vol. 21: 1–67.
Google Scholar
Schneider, Steffen, and Baevski, Alexei, and Collobert, Ronan, and Auli, Michael. wav2vec: Unsupervised Pre-training for Speech Recognition, 2019 <https://arxiv.org/abs/1904.05862v4>.
Google Scholar
Shavrina, Tatiana, and Shapovalova, Olga. “To the Methodology of Corpus Construction for Machine Learning: Taiga Syntax Tree Corpus and Parser.” Zakharov, Viktor Pavlovich. Khokhlova, Mariya Vladimirovna (eds.). Proceedings of the International Conference „Corpus Linguistics–2017”. St. Petersburg, 2017, 78–84.
Google Scholar
Tampel', Ivan Borisovich, and Karpov, Aleksey Anatol'yevich. Avtomaticheskoye raspoznavaniye rechi. Uchebnoye posobiye. Sankt-Peterburg: Universitet ITMO, 2017 [Тампель, Иван Борисович, and Карпов, Алексей Анатольевич. Автоматическое распознавание речи. Учебное пособие. Санкт-Петербург: Университет ИТМО, 2017].
Google Scholar
Tampel', Ivan Borisovich. “Avtomaticheskoye raspoznavaniye rechi – osnovnyye etapy 50 za let.” Nauchno-tekhnicheskiy vestnik informatsionnykh tekhnologiy, mekhaniki i optiki 2015, Vol. 15, No. 6: 957–968 [Тампель, Иван Борисович. “Aвтоматическое распознавание речи – основные этапы за 50 лет.” Научно-технический вестник информационных технологий, механики и оптики 2015, Vol. 15, No. 6: 957–968].
Google Scholar
Vaswani, Ashish (et al.). Attention Is All You Need, 2017 <https://arxiv.org/abs/1706.03762v5>.
Google Scholar
Wolf, Thomas (et al.). Transformers: State-of-the-Art Natural Language Processing, 2020 <https://aclanthology.org/2020.emnlp-demos.6.pdf>.
Google Scholar
Yakovenko, Olga, and Bondarenko, Ivan, and Borovikova, Mariya, and Vodolazsky, Daniil. “Algorithms for automatic accentuation and transcription of russian texts in speech recognition systems.” Karpov, Alexey, and Jokisch, Oliver, and Potapova, Rodmonga (eds.). Speech And Computer. Switzerland: Springer, 2018: 768–777.
Google Scholar
Ziółko, Bartosz, and Ziółko, Mariusz. Przetwarzanie mowy. Kraków: Wydawnictwa AGH, 2011.
Google Scholar