Global Emotion Encoder
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ProSarc: Prosody-Aware Sarcasm Recognition Framework via Temporal Prosodic Incongruity
Announce Type: new Abstract: We present ProSarc, an audio-only framework that detects sarcasm by modelling temporal prosodic incongruity, that is, the mismatch between local prosodic dynamics and the utterance-level emotional baseline. Dual encoding paths, a Global Emotion Encoder and a Temporal Prosody Encoder (BiLSTM + multi-head attention), feed a Prosodic Incongruity Analyzer that produces a scalar incongruity score for classification. Monte Carlo dropout provides uncertainty estimates,...
Explicit Representation Alignment for Multimodal Sentiment Analysis
arXiv:2606.09148v1 Announce Type: new Abstract: Multimodal affective analysis aims to understand human sentiment and emotion by jointly modeling heterogeneous modalities such as text and images. However, multimodal models often fail to consistently outperform strong text-only baselines, with performance varying significantly across fusion strategies. In this work, we identify representation misalignment between independently pretrained modality encoders as a key bottleneck for effective...
A prognostic human brain network for diffuse midline glioma
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