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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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Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language, , , and . https://ai.facebook.com/blog/ai-self-supervised-learning-data2vec/, (2022)cite arxiv:2212.07525.Text-Free Image-to-Speech Synthesis Using Learned Segmental Units., , , and . CoRR, (2020)Hierarchical Generative Modeling for Controllable Speech Synthesis., , , , , , , , , and 2 other author(s). CoRR, (2018)Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 1416-1429. PMLR, (2023)Text-Free Image-to-Speech Synthesis Using Learned Segmental Units., , , , and . ACL/IJCNLP (1), page 5284-5300. Association for Computational Linguistics, (2021)u-HuBERT: Unified Mixed-Modal Speech Pretraining And Zero-Shot Transfer to Unlabeled Modality., and . NeurIPS, (2022)Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training., , , , , , , , , and 1 other author(s). Interspeech, page 721-725. ISCA, (2021)On-demand compute reduction with stochastic wav2vec 2.0., , , and . INTERSPEECH, page 3048-3052. ISCA, (2022)A Study of Enhancement, Augmentation and Autoencoder Methods for Domain Adaptation in Distant Speech Recognition., , , and . INTERSPEECH, page 2928-2932. ISCA, (2018)Expresso: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis., , , , , , , , , and 3 other author(s). INTERSPEECH, page 4823-4827. ISCA, (2023)