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Zero-Shot End-to-End Spoken Language Understanding via Cross-Modal Selective Self-Training.

, , , , and . EACL (1), page 2239-2256. Association for Computational Linguistics, (2024)

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Zero-Shot End-to-End Spoken Language Understanding via Cross-Modal Selective Self-Training., , , , and . EACL (1), page 2239-2256. Association for Computational Linguistics, (2024)Attentional Speech Recognition Models Misbehave on Out-of-domain Utterances., , , , and . CoRR, (2020)Self-attention Networks for Connectionist Temporal Classification in Speech Recognition., , and . ICASSP, page 7115-7119. IEEE, (2019)Transformers without Tears: Improving the Normalization of Self-Attention., and . IWSLT, Association for Computational Linguistics, (2019)Align-Refine: Non-Autoregressive Speech Recognition via Iterative Realignment., , and . NAACL-HLT, page 1920-1927. Association for Computational Linguistics, (2021)Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation., , and . CoRR, (2022)Masked Language Model Scoring., , , and . ACL, page 2699-2712. Association for Computational Linguistics, (2020)Deep Contextualized Acoustic Representations For Semi-Supervised Speech Recognition., , , and . CoRR, (2019)LMs with a Voice: Spoken Language Modeling beyond Speech Tokens., , , , , , and . CoRR, (2023)BERTphone: Phonetically-aware Encoder Representations for Utterance-level Speaker and Language Recognition., , , and . Odyssey, page 9-16. ISCA, (2020)