Semi-supervised Multimodal Emotion Recognition with Consensus Decision-making and Label Correction-Reference-Cited by-同舟云学术

Semi-supervised Multimodal Emotion Recognition with Consensus Decision-making and Label Correction

Published:2023-10-29 Issue: Volume: Page:
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Container-title:Proceedings of the 1st International Workshop on Multimodal and Responsible Affective Computing
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Author:

Tian Jingguang¹^ORCID,Hu Desheng¹^ORCID,Shi Xiaohan²^ORCID,He Jiajun²^ORCID,Li Xingfeng³^ORCID,Gao Yuan⁴^ORCID,Toda Tomoki²^ORCID,Xu Xinkang¹^ORCID,Hu Xinhui¹^ORCID

Affiliation:

1. Hithink RoyalFlush AI Research Institute, HangZhou, China

2. Nagoya University, Nagoya, Japan

3. Hainan University, HaiKou, China

4. Kyoto University, Kyoto, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3607865.3613182

Reference35 articles.

1. Automatic speech emotion recognition using recurrent neural networks with local attention

2. Speech Emotion Recognition Using Deep Learning Techniques: A Review

3. A Comprehensive Review of Speech Emotion Recognition Systems

4. Robust Speech Emotion Recognition Using CNN+LSTM Based on Stochastic Fractal Search Optimization Algorithm

5. Speech Emotion Recognition with Co-Attention Based Multi-Level Acoustic Information

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