← Search

Zhichen Yuan

2 accepted papers

2026

An Emotion-Preserving Conditional Information Bottleneck for Domain-Generalizable Speech Emotion Recognition

IJCAI 2026

Domain-generalizable speech emotion recognition (DG-SER) aims to ensure the robustness of SER models across unknown domains, which is essential for real-world human-machine interaction systems. Most DG-SER approaches employ alignment or adversarial strategies with domain labels to promote generaliza

Cited by 0Scholar
2024

Disentanglement Network: Disentangle the Emotional Features from Acoustic Features for Speech Emotion Recognition

ICASSP 2024accepted

Speech emotion recognition plays a crucial role in human-computer interaction. However, data distribution of speech signals varies among individuals for emotion recognition. It may guide models to focus more on identity information rather than emotional information, which impairs the generalization…

Cited by 0SourceScholar