Generative Approach Using Soft-Labels to Learn Uncertainty in Predicting Emotional Attributes *

Author:

Sridhar Kusha,Lin Wei-Cheng,Busso Carlos

Publisher

IEEE

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Facial Emotion Recognition Using Ensemble Learning;Advances in Computational Intelligence and Robotics;2024-02-23

2. EASUM: Enhancing Affective State Understanding through Joint Sentiment and Emotion Modeling for Multimodal Tasks;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

3. The Importance of Calibration: Rethinking Confidence and Performance of Speech Multi-label Emotion Classifiers;INTERSPEECH 2023;2023-08-20

4. Unsupervised Domain Adaptation for Preference Learning Based Speech Emotion Recognition;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

5. End-to-End Label Uncertainty Modeling in Speech Emotion Recognition using Bayesian Neural Networks and Label Distribution Learning;IEEE Transactions on Affective Computing;2023

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