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Multimodal Ambivalence and Hesitancy Recognition with Bidirectional Audio--Text Cross-Attention
Dorri G., Author 2, Author 3, Author 4, Author 5
multimodalaudio-textcross-attentionbehavioral recognition
2610.26868
Builder Relevance
2h ago70%
Abstract
This paper presents an audio--text framework for recognizing ambivalence and hesitancy in video content.
Reality Card
Core Claim
The proposed system achieves 72.19% accuracy in recognizing ambivalence and hesitancy by jointly modeling linguistic and acoustic information.
Method / Result
Achieved 75.00% precision and 81.13% recall on the test set.
Limitations
The model's performance may vary with different datasets and requires further validation on diverse video content.
Paper to code
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