GCFormer: A Graph Convolutional Transformer for Speech Emotion Recognition-Reference-Cited by-同舟云学术

GCFormer: A Graph Convolutional Transformer for Speech Emotion Recognition

Published:2023-10-09 Issue: Volume: Page:
ISSN:
Container-title:INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
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Author:

Gao Yingxue¹^ORCID,Zhao Huan²^ORCID,Xiao Yufeng²^ORCID,Zhang Zixing²^ORCID

Affiliation:

1. Hunan University, Information Science and Engineering, China

2. College of Information Science and Engineering, Hunan University, China

Funder

Special Project of Foshan Science and Technology Innovation Team under Grant

National Natural Science Foundation of China under Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3577190.3614177

Reference39 articles.

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3. Sequential Graph Convolutional Network for Active Learning

4. Investigating Transformer Encoders and Fusion Strategies for Speech Emotion Recognition in Emergency Call Center Conversations.

5. Shubham Dokania and Vasudev Singh . 2019. Graph Representation learning for Audio & Music genre Classification. CoRR abs/1910.11117 ( 2019 ). arXiv:1910.11117 Shubham Dokania and Vasudev Singh. 2019. Graph Representation learning for Audio & Music genre Classification. CoRR abs/1910.11117 (2019). arXiv:1910.11117