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Building Large-Vocabulary ASR Systems for Languages Without Any Audio Training Data., , , и . INTERSPEECH, стр. 271-275. ISCA, (2019)Massively Multilingual ASR: A Lifelong Learning Solution., , , , , , , , , и . ICASSP, стр. 6397-6401. IEEE, (2022)TOD-Tree: Task-Overlapped Direct Send Tree Image Compositing for Hybrid MPI Parallelism and GPUs., , , , и . IEEE Trans. Vis. Comput. Graph., 23 (6): 1677-1690 (2017)Mining Training Data for Language Modeling Across the World's Languages., , и . SLTU, стр. 61-65. ISCA, (2018)Writing Across the World's Languages: Deep Internationalization for Gboard, the Google Keyboard., , , , , , , , и . CoRR, (2019)Mining Large-Scale Low-Resource Pronunciation Data From Wikipedia., , , , и . CoRR, (2021)Self-Adaptive Distillation for Multilingual Speech Recognition: Leveraging Student Independence., , , , , , , и . Interspeech, стр. 2556-2560. ISCA, (2021)Mixture of Informed Experts for Multilingual Speech Recognition., , , , , , , и . ICASSP, стр. 6234-6238. IEEE, (2021)TOD-Tree: Task-Overlapped Direct send Tree Image Compositing for Hybrid MPI Parallelism., , , , и . EGPGV@EuroVis, стр. 67-76. Eurographics Association, (2015)