Hung-yi Lee

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.

Semantic-level uncertainty estimation methods significantly enhance the reliability of audio-aware language models, outperforming traditional approaches in critical reasoning tasks.