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The First Multimodal Information Based Speech Processing (Misp) Challenge: Data, Tasks, Baselines And Results.

, , , , , , , , , , , , and . ICASSP, page 9266-9270. IEEE, (2022)

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Implicit Enhancement of Target Speaker in Speaker-Adaptive ASR through Efficient Joint Optimization., , , , , , , , , and 4 other author(s). ICASSP, page 10051-10055. IEEE, (2024)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)Audio-Visual Wake Word Spotting in MISP2021 Challenge: Dataset Release and Deep Analysis., , , , , , , , , and 1 other author(s). INTERSPEECH, page 1111-1115. ISCA, (2022)Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition., , , , , , and . CoRR, (2020)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)An Investigation of Transfer Learning Mechanism for Acoustic Scene Classification., , and . ISCSLP, page 404-408. IEEE, (2018)The First Multimodal Information Based Speech Processing (Misp) Challenge: Data, Tasks, Baselines And Results., , , , , , , , , and 3 other author(s). ICASSP, page 9266-9270. IEEE, (2022)A Study of Designing Compact Audio-Visual Wake Word Spotting System Based on Iterative Fine-Tuning in Neural Network Pruning., , , , and . ICASSP, page 7572-7576. IEEE, (2022)Using Speech Enhancement Preprocessing for Speech Emotion Recognition in Realistic Noisy Conditions., , , and . INTERSPEECH, page 4098-4102. ISCA, (2020)