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Can We Simulate Generative Process of Acoustic Modeling Data? Towards Data Restoration for Acoustic Modeling., , , , и . APSIPA, стр. 655-661. IEEE, (2019)Parallel phonetically aware DNNs and LSTM-RNNS for frame-by-frame discriminative modeling of spoken language identification., , , и . ICASSP, стр. 5260-5264. IEEE, (2017)Domain adaptation of DNN acoustic models using knowledge distillation., , , , и . ICASSP, стр. 5185-5189. IEEE, (2017)Context-Aware Neural Voice Activity Detection Using Auxiliary Networks for Phoneme Recognition, Speech Enhancement and Acoustic Scene Classification., , , , , и . EUSIPCO, стр. 1-5. IEEE, (2019)Generalized Large-Context Language Models Based on Forward-Backward Hierarchical Recurrent Encoder-Decoder Models., , , , , и . ASRU, стр. 554-561. IEEE, (2019)Investigation of Combining Various Major Language Model Technologies including Data Expansion and Adaptation., , , , , и . IEICE Trans. Inf. Syst., 99-D (10): 2452-2461 (2016)Improving Neural Text Normalization with Data Augmentation at Character- and Morphological Levels., , , , , , , и . IJCNLP(2), стр. 257-262. Asian Federation of Natural Language Processing, (2017)Fully Shareable Scene Text Recognition Modeling for Horizontal and Vertical Writing., , , , и . ICIP, стр. 2636-2640. IEEE, (2022)Distilling Knowledge of Bidirectional Language Model for Scene Text Recognition., , , , и . ICIP, стр. 2165-2169. IEEE, (2023)OnDA-DETR: Online Domain Adaptation for Detection Transformers with Self-Training Framework., , , , , и . ICIP, стр. 1780-1785. IEEE, (2023)