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Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages, , , , , , , , , и 17 other автор(ы). (2023)cite arxiv:2303.01037Comment: 20 pages, 7 figures, 8 tables.Improvements to Deep Convolutional Neural Networks for LVCSR., , , , , , , , и . ASRU, стр. 315-320. IEEE, (2013)Knowledge Graph Reasoning with Self-supervised Reinforcement Learning., , , , , , , , и . CoRR, (2024)Optimization Techniques to Improve Training Speed of Deep Neural Networks for Large Speech Tasks., , , и . IEEE Trans. Speech Audio Process., 21 (11): 2267-2276 (2013)Unsupervised Slot Schema Induction for Task-oriented Dialog., , , , , и . NAACL-HLT, стр. 1174-1193. Association for Computational Linguistics, (2022)Speech Aware Dialog System Technology Challenge (DSTC11)., , , , , , , , и . INTERSPEECH, стр. 4668-4672. ISCA, (2023)RNN Transducers for Named Entity Recognition with constraints on alignment for understanding medical conversations., , , и . INTERSPEECH, стр. 1901-1905. ISCA, (2022)Advances in Automatic Meeting Record Creation and Access, , , , , , , , и . Proc. ICASSP 2001, (2001)Knowledge-grounded Dialog State Tracking., , , , , и . EMNLP (Findings), стр. 3428-3435. Association for Computational Linguistics, (2022)The Medical Scribe: Corpus Development and Model Performance Analyses., , , , , , , , , и 4 other автор(ы). LREC, стр. 2036-2044. European Language Resources Association, (2020)