Yun-Shao Tsai

Widely used emotion embedding similarity metrics for speech generation are more sensitive to speaker and linguistic features than actual emotion, rendering them unreliable for evaluating emotional expressiveness.

LALMs struggle to handle multiple concurrent audio inputs, but a simple input permutation strategy can significantly boost their multi-audio understanding without retraining.