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Information Fusion in Attention Networks Using Adaptive and Multi-Level Factorized Bilinear Pooling for Audio-Visual Emotion Recognition., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2021)Audio-Visual Wake Word Spotting in MISP2021 Challenge: Dataset Release and Deep Analysis., , , , , , , , , and 1 other author(s). INTERSPEECH, page 1111-1115. ISCA, (2022)Hierarchical Audio-Visual Information Fusion with Multi-label Joint Decoding for MER 2023., , , , , , , , , and 4 other author(s). ACM Multimedia, page 9531-9535. ACM, (2023)An Investigation of Transfer Learning Mechanism for Acoustic Scene Classification., , and . ISCSLP, page 404-408. IEEE, (2018)Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition., , , , , , and . CoRR, (2020)The USTC-NERCSLIP Systems for the CHiME-7 DASR Challenge., , , , , , , , , and 9 other author(s). CoRR, (2023)High-Resolution Attention Network with Acoustic Segment Model for Acoustic Scene Classification., , , , , and . ICASSP, page 656-660. IEEE, (2020)Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition., , , , , , and . ICMI, page 562-566. ACM, (2019)Speech Emotion Recognition Based on Acoustic Segment Model., , , , , and . ISCSLP, page 1-5. IEEE, (2021)Using Speech Enhancement Preprocessing for Speech Emotion Recognition in Realistic Noisy Conditions., , , and . INTERSPEECH, page 4098-4102. ISCA, (2020)