Enforcing Semantic Consistency for Cross Corpus Emotion Prediction using Adversarial Discrepancy Learning-Reference-Cited by-同舟云学术

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Enforcing Semantic Consistency for Cross Corpus Emotion Prediction using Adversarial Discrepancy Learning

Published:2021 Issue: Volume: Page:1-1
ISSN:1949-3045
Container-title:IEEE Transactions on Affective Computing
language:
Short-container-title:IEEE Trans. Affective Comput.

Author:

Chang Chun-Min,Chao Gao-Yi,Lee Chi-Chun

Funder

Novatek

Ministry of Science and Technology Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Software

Link

http://xplorestaging.ieee.org/ielx7/5165369/5520654/09536438.pdf?arnumber=9536438

Cited by 6 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. Extending speech emotion recognition systems to non-prototypical emotions using mixed-emotion model;Expert Systems with Applications;2024-09

2. A Multi-Level Alignment and Cross-Modal Unified Semantic Graph Refinement Network for Conversational Emotion Recognition;IEEE Transactions on Affective Computing;2024-07

3. A Comprehensive Survey on Video Saliency Detection With Auditory Information: The Audio-Visual Consistency Perceptual is the Key!;IEEE Transactions on Circuits and Systems for Video Technology;2023-02

4. Unsupervised Domain Adaptation Integrating Transformer and Mutual Information for Cross-Corpus Speech Emotion Recognition;Proceedings of the 30th ACM International Conference on Multimedia;2022-10-10

5. Cross-Corpus Speech Emotion Recognition Based on Transfer Learning and Multi-Loss Dynamic Adjustment;Computational Intelligence and Neuroscience;2022-09-20

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