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M2BART: Multilingual and Multimodal Encoder-Decoder Pre-Training for Any-to-Any Machine Translation.

, , , , and . ICASSP, page 11896-11900. IEEE, (2024)

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Few-shot Sequence Learning with Transformers., , , , , and . CoRR, (2020)Automatic multi-atlas segmentation using dual registrations., , , , , , , and . ISBI, page 1284-1287. IEEE, (2013)UnitY: Two-pass Direct Speech-to-speech Translation with Discrete Units., , , , , , , , , and . ACL (1), page 15655-15680. Association for Computational Linguistics, (2023)Automatic highlights extraction for drama video using music emotion and human face features., , , , and . Neurocomputing, (2013)Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training., , , , , , , , , and 1 other author(s). Interspeech, page 721-725. ISCA, (2021)SeamlessM4T-Massively Multilingual & Multimodal Machine Translation., , , , , , , , , and 58 other author(s). CoRR, (2023)Mispronunciation detection without nonnative training data., and . INTERSPEECH, page 643-647. ISCA, (2015)On The Robustness of Self-Supervised Representations for Spoken Language Modeling., , , , , , and . CoRR, (2022)Language-independent methods for computer-assisted pronunciation training.. Massachusetts Institute of Technology, Cambridge, USA, (2016)ndltd.org (oai:dspace.mit.edu:1721.1/107338).Direct Speech-to-Speech Translation With Discrete Units., , , , , , , , , and 2 other author(s). ACL (1), page 3327-3339. Association for Computational Linguistics, (2022)