Reading Emotions in the Token Space: Discriminative Adaptation of SpeechLLMs for Emotion Recognition
A new approach to emotion recognition in speechLLMs improves Macro F1 and reduces hallucinations by adapting the model to read the final prompt token's hidden state through a classification head, providing controlled comparison of generative and discriminative inference.
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