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Audio-video fusion strategies for active speaker detection in meetings
In this paper, we propose two different types of fusion for the detection of the active speaker, combining two visual modalities and an audio modality through neural networks.
Deep learning is a good steganalysis tool when embedding key is reused for different images, even if there is a cover source-mismatch
In this paper, we follow-up the study of Qian et al., and show that, due to intrinsic joint minimization, the results obtained from a Convolutional Neural Network (CNN) or a Fully Connected Neural Network (FNN), if well parameterized, surpass the conventional use of a RM with an EC.
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