A hyperbolic parameter-efficient fine-tuning framework for audio-language models improves speech emotion recognition over Euclidean LoRA and Adapter baselines on MELD and IEMOCAP.
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HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models
A hyperbolic parameter-efficient fine-tuning framework for audio-language models improves speech emotion recognition over Euclidean LoRA and Adapter baselines on MELD and IEMOCAP.