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Semi-Supervised Spoken Language Understanding via Self-Supervised Speech and Language Model Pretraining.

, , , , and . ICASSP, page 7468-7472. IEEE, (2021)

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An Iterative Deep Learning Framework for Unsupervised Discovery of Speech Features and Linguistic Units with Applications on Spoken Term Detection., , , , , and . CoRR, (2016)Attention-based CNN Matching Net., , and . CoRR, (2017)Meta Learning for Natural Language Processing: A Survey., , and . NAACL-HLT, page 666-684. Association for Computational Linguistics, (2022)AdapterBias: Parameter-efficient Token-dependent Representation Shift for Adapters in NLP Tasks., , , and . NAACL-HLT (Findings), page 2608-2621. Association for Computational Linguistics, (2022)Order-Free Learning Alleviating Exposure Bias in Multi-Label Classification., and . AAAI, page 6038-6045. AAAI Press, (2020)SpeechCLIP: Integrating Speech with Pre-Trained Vision and Language Model., , , , , and . SLT, page 715-722. IEEE, (2022)How Far Are We from Robust Voice Conversion: A Survey., , and . SLT, page 514-521. IEEE, (2021)Superb @ SLT 2022: Challenge on Generalization and Efficiency of Self-Supervised Speech Representation Learning., , , , , , , , , and 4 other author(s). SLT, page 1096-1103. IEEE, (2022)On Compressing Sequences for Self-Supervised Speech Models., , , , , , and . SLT, page 1128-1135. IEEE, (2022)Hierarchical Prosody Modeling for Non-Autoregressive Speech Synthesis., and . SLT, page 446-453. IEEE, (2021)