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Improving Audio-Visual Speech Recognition by Lip-Subword Correlation Based Visual Pre-training and Cross-Modal Fusion Encoder.

, , , , , , and . ICME, page 2627-2632. IEEE, (2023)

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M4D: A Malware Detection Method Using Multimodal Features., , , , and . FCS, volume 1105 of Communications in Computer and Information Science, page 228-238. Springer, (2019)A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition., , , , , , , and . CoRR, (2024)The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction., , , , , , , , , and 6 other author(s). CoRR, (2023)Audio-Visual Speech Recognition in MISP2021 Challenge: Dataset Release and Deep Analysis., , , , , , , , , and . INTERSPEECH, page 1766-1770. ISCA, (2022)A malware classification method based on memory dump grayscale image., , , and . Digit. Investig., (2018)Improving Multi-Modal Emotion Recognition Using Entropy-Based Fusion and Pruning-Based Network Architecture Optimization., , , , , and . ICASSP, page 11766-11770. IEEE, (2024)A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition., , , , , , and . CVPR, page 27435-27445. IEEE, (2024)Improving Audio-Visual Speech Recognition by Lip-Subword Correlation Based Visual Pre-training and Cross-Modal Fusion Encoder., , , , , , and . ICME, page 2627-2632. IEEE, (2023)The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction., , , , , , , , , and 5 other author(s). ICASSP, page 8351-8355. IEEE, (2024)Summary on the Multimodal Information Based Speech Processing (MISP) 2022 Challenge., , , , , , , , , and 5 other author(s). ICASSP, page 1-2. IEEE, (2023)