EM2LDL: Advancing Multilingual Emotion Recognition in Speech
Analysis
The EM2LDL paper introduces a new multilingual speech corpus, a valuable resource for research into mixed emotion recognition. Label distribution learning is employed, which may improve performance in complex emotion scenarios.
Key Takeaways
- •A new multilingual speech corpus for emotion recognition is introduced.
- •The corpus utilizes label distribution learning for improved performance.
- •This research contributes to advancements in human-computer interaction and affective computing.
Reference
“The article's context highlights the creation of a multilingual speech corpus for mixed emotion recognition using label distribution learning.”