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SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Tasks.

, , , , , , , , , and . ACL (1), page 8906-8937. Association for Computational Linguistics, (2023)

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DNN Transfer Learning based Non-linear Feature Extraction for Acoustic Event Classification., , , , , and . CoRR, (2017)Autoencoder Based Domain Adaptation for Speaker Recognition Under Insufficient Channel Information., , , and . INTERSPEECH, page 1014-1018. ISCA, (2017)State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18., , , , , , , , , and 6 other author(s). INTERSPEECH, page 1488-1492. ISCA, (2019)DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding., , , , , and . CoRR, (2024)Speech vs. Transcript: Does It Matter for Human Annotators in Speech Summarization?, , , , , and . CoRR, (2024)On the Use of External Data for Spoken Named Entity Recognition., , , , and . NAACL-HLT, page 724-737. Association for Computational Linguistics, (2022)KU-ISPL TRECVID 2016 Multimedia Event Detection System., , , , , , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2016)Noise-tolerant Audio-visual Online Person Verification Using an Attention-based Neural Network Fusion., , and . ICASSP, page 3995-3999. IEEE, (2019)Multimodal Association for Speaker Verification., and . INTERSPEECH, page 2247-2251. ISCA, (2020)Convolutional Neural Network and Language Embeddings for End-to-End Dialect Recognition., , and . Odyssey, page 98-104. ISCA, (2018)