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Found 4 papers, 1 papers with code
Speech Emotion Recognition with Distilled Prosodic and Linguistic Affect Representations
We propose EmoDistill, a novel speech emotion recognition (SER) framework that leverages cross-modal knowledge distillation during training to learn strong linguistic and prosodic representations of emotion from speech.
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation
In this work, we introduce Region-Disentangled Diffusion Model (RDDM), a novel diffusion model designed to capture the complex temporal dynamics of ECG.
EXnet: Efficient In-context Learning for Data-less Text classification
In-context learning extends zero-shot learning by incorporating prompts and examples, resulting in increased task accuracy.
Federated learning and next generation wireless communications: A survey on bidirectional relationship
Thus, a `bidirectional' relationship exists between FL and wireless communications.
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