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Decoupled Non-Parametric Knowledge Distillation for end-to-End Speech Translation.

, , , , , , and . ICASSP, page 1-5. IEEE, (2023)

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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)Decoupled Non-Parametric Knowledge Distillation for end-to-End Speech Translation., , , , , , and . ICASSP, page 1-5. IEEE, (2023)Improving cross-lingual low-resource speech recognition by Task-based Meta PolyLoss., , , , and . Comput. Speech Lang., (2024)FCGCL: Fine- and Coarse-Granularity Contrastive Learning for Speech Translation., , , , , , and . EMNLP (Findings), page 3048-3059. Association for Computational Linguistics, (2022)Context Prefix Tree Beam Search Algorithm Based on Domain Classification., , , , and . MLNLP, page 185-189. ACM, (2022)Improving Speech Translation by Cross-Modal Multi-Grained Contrastive Learning., , , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2023)Task-Consistent Meta Learning for Low-Resource Speech Recognition., , , , and . NLPCC (1), volume 14302 of Lecture Notes in Computer Science, page 349-360. Springer, (2023)Meta-Adapter for Self-Supervised Speech Models: A Solution to Low-Resource Speech Recognition Challenges., , , , and . LREC/COLING, page 11215-11221. ELRA and ICCL, (2024)Exploration of Whisper fine-tuning strategies for low-resource ASR., , and . EURASIP J. Audio Speech Music. Process., 2024 (1): 29 (December 2024)