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Single-branch network for multimodal training
With the rapid growth of social media platforms, users are sharing billions of multimedia
posts containing audio, images, and text. Researchers have focused on building …
posts containing audio, images, and text. Researchers have focused on building …
Speaker recognition in realistic scenario using multimodal data
In recent years, an association is established between faces and voices of celebrities
leveraging large scale audio-visual information from YouTube. The availability of large scale …
leveraging large scale audio-visual information from YouTube. The availability of large scale …
Dctm: Dilated convolutional transformer model for multimodal engagement estimation in conversation
Conversational engagement estimation is posed as a regression problem, entailing the
identification of the favorable attention and involvement of the participants in the …
identification of the favorable attention and involvement of the participants in the …
Multimodal pre-train then transfer learning approach for speaker recognition
Cognitive science has well-established the correlation between faces and voices because
neuro-cognitive pathways of both information share the same structure. Recently, the task …
neuro-cognitive pathways of both information share the same structure. Recently, the task …
[HTML][HTML] Audio–Visual Fusion Based on Interactive Attention for Person Verification
With the rapid development of multimedia technology, personnel verification systems have
become increasingly important in the security field and identity verification. However …
become increasingly important in the security field and identity verification. However …