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Contextual Phonetic Pretraining for End-to-end Utterance-level Language and Speaker Recognition., , and . CoRR, (2019)CogCompNLP: Your Swiss Army Knife for NLP., , , , , , , , , and 13 other author(s). LREC, European Language Resources Association (ELRA), (2018)Deep Contextualized Acoustic Representations for Semi-Supervised Speech Recognition., , , and . ICASSP, page 6429-6433. IEEE, (2020)DeCoAR 2.0: Deep Contextualized Acoustic Representations with Vector Quantization., and . CoRR, (2020)Word Embeddings with Limited Memory., , and . ACL (2), The Association for Computer Linguistics, (2016)Deep Contextualized Acoustic Representations For Semi-Supervised Speech Recognition., , , and . CoRR, (2019)Improving Pseudo-Label Training For End-To-End Speech Recognition Using Gradient Mask., , , and . ICASSP, page 8397-8401. IEEE, (2022)BERTphone: Phonetically-aware Encoder Representations for Utterance-level Speaker and Language Recognition., , , and . Odyssey, page 9-16. ISCA, (2020)Improving Pseudo-label Training For End-to-end Speech Recognition Using Gradient Mask., , , and . CoRR, (2021)Hybrid Attention-based Encoder-decoder Model for Efficient Language Model Adaptation., , , and . CoRR, (2023)