Audio-Visual Wake Word Spotting in MISP2021 Challenge: Dataset Release and Deep Analysis

Author:

Zhou Hengshun,Du Jun,Zou Gongzhen,Nian Zhaoxu,Lee Chin-Hui,Siniscalchi Sabato Marco,Watanabe Shinji,Scharenborg Odette,Chen Jingdong,Xiong Shifu,Gao Jian-Qing

Publisher

ISCA

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Summary on the Chat-Scenario Chinese Lipreading (ChatCLR) Challenge;2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW);2024-07-15

2. The Whu Wake Word Lipreading System for the 2024 Chat-Scenario Chinese Lipreading Challenge;2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW);2024-07-15

3. Exploring Semi-Supervised, Subcategory Classification and Subwords Alignment for Visual Wake Word Spotting;2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW);2024-07-15

4. Enhancing Visual Wake Word Spotting with Pretrained Model and Feature Balance Scaling;2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW);2024-07-15

5. Robust Wake Word Spotting With Frame-Level Cross-Modal Attention Based Audio-Visual Conformer;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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