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Bridging the cross-modal gap using adversarial training for speech-to-text translation., , , and . Digit. Signal Process., (2022)Improving Speech Translation by Understanding the Speech From Latent Code., , , , and . IEEE Signal Process. Lett., (2024)Tuning Large language model for End-to-end Speech Translation., , , , , , and . CoRR, (2023)Meta adversarial learning improves low-resource speech recognition., , , , , and . Comput. Speech Lang., (March 2024)Decoupled Non-Parametric Knowledge Distillation for end-to-End Speech Translation., , , , , , and . ICASSP, page 1-5. IEEE, (2023)Decouple Non-parametric Knowledge Distillation For End-to-end Speech Translation., , , , , , and . CoRR, (2023)Context Prefix Tree Beam Search Algorithm Based on Domain Classification., , , , and . MLNLP, page 185-189. ACM, (2022)FCGCL: Fine- and Coarse-Granularity Contrastive Learning for Speech Translation., , , , , , and . EMNLP (Findings), page 3048-3059. Association for Computational Linguistics, (2022)DropDim: A Regularization Method for Transformer Networks., , , and . CoRR, (2023)Task-based Meta Focal Loss for Multilingual Low-resource Speech Recognition., , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 22 (11): 244:1-244:17 (November 2023)