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A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks.

, , , , , , , , , and . INTERSPEECH, page 2208-2212. ISCA, (2023)

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Teaching Old DB Neu(ral) Tricks: Learning Embeddings on Multi-tabular Databases., , , , and . COMAD/CODS, page 87-94. ACM, (2023)SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Tasks., , , , , , , , , and . ACL (1), page 8906-8937. Association for Computational Linguistics, (2023)A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks., , , , , , , , , and . INTERSPEECH, page 2208-2212. ISCA, (2023)Integrating Pretrained ASR and LM to Perform Sequence Generation for Spoken Language Understanding., , , , , and . INTERSPEECH, page 720-724. ISCA, (2023)A Naive Deep Nets Based Approach for Authenticating Viral Textual Content on Social Media., , , , and . IntelliSys (2), volume 869 of Advances in Intelligent Systems and Computing, page 679-689. Springer, (2018)Finding Task-specific Subnetworks in Multi-task Spoken Language Understanding Model., , , , and . CoRR, (2024)Rapid Language Adaptation for Multilingual E2E Speech Recognition Using Encoder Prompting., , , , and . CoRR, (2024)E-Branchformer-Based E2E SLU Toward Stop on-Device Challenge., , , , , , , , and . ICASSP, page 1-2. IEEE, (2023)Streaming Joint Speech Recognition and Disfluency Detection., , , , , , and . ICASSP, page 1-5. IEEE, (2023)IterefinE: Iterative KG Refinement Embeddings using Symbolic Knowledge., , , and . AKBC, (2020)