EmoBridge: Aligning Speech and Language for Emotion Recognition via Q-Former
Speech emotion recognition (SER) remains a challenging task due to the limited affective cues in unimodal representations and the difficulty of aligning heterogeneous features in multimodal systems. Although multimodal large language models (MLLMs) have recently achieved notable progress in affectiv...
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| Główni autorzy: | , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
IEEE
2025-01-01
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| Seria: | IEEE Access |
| Hasła przedmiotowe: | |
| Dostęp online: | https://ieeexplore.ieee.org/document/11263794/ |
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