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Returnn: The RWTH extensible training framework for universal recurrent neural networks.

, , , , , and . ICASSP, page 5345-5349. IEEE, (2017)

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Improving Speech-to-Speech Translation Through Unlabeled Text., , , , , and . CoRR, (2022)Improving Speech-to-Speech Translation Through Unlabeled Text., , , , , and . ICASSP, page 1-5. IEEE, (2023)Simple and Effective Unsupervised Speech Translation., , , , , , , and . ACL (1), page 10771-10784. Association for Computational Linguistics, (2023)Neural Text Generation With Unlikelihood Training., , , , , and . ICLR, OpenReview.net, (2020)Named Entity Detection and Injection for Direct Speech Translation., , , , , and . CoRR, (2022)Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling., , and . CoRR, (2021)Multi-resolution HuBERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction., , , , and . CoRR, (2023)Importance of Search and Evaluation Strategies in Neural Dialogue Modeling., , , and . INLG, page 76-87. Association for Computational Linguistics, (2019)Simple and Effective Unsupervised Speech Translation., , , , , , , and . CoRR, (2022)SeamlessM4T-Massively Multilingual & Multimodal Machine Translation., , , , , , , , , and 58 other author(s). CoRR, (2023)