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The Chinese University of Hong Kong, Shenzhen
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Fine-tuning large audio-language models for emotion recognition can be drastically improved by leveraging hyperbolic geometry, leading to better performance on class-imbalanced datasets.
Slash spoken dialogue system latency by up to 51% with a new architecture that lets the system "listen-while-thinking" and "speak-while-thinking."
