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Temporal Multimodal Learning in Audiovisual Speech Recognition.

CVPR, pp.3574-3582, (2016)

Cited by: 76|Views17
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Abstract

In view of the advantages of deep networks in producing useful representation, the generated features of different modality data (such as image, audio) can be jointly learned using Multimodal Restricted Boltzmann Machines (MRB-M). Recently, audiovisual speech recognition based the M-RBM has attracted much attention, and the MRBM shows its...More

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