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Georgia Institute of Technology
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CCPL boosts few-shot CLIP adaptation performance by anchoring prompts to frozen concept prototypes, revealing that concept constraints can enhance transferability to unseen classes.
Achieving a notable increase in zero-shot cross-lingual SER performance by aligning emotions while eliminating speaker biases could redefine how we approach multilingual emotion recognition.
Integrating text and speech representations can dramatically enhance the intelligibility of electrolaryngeal speech, outperforming traditional methods by leveraging auxiliary information.