Knowledge enhancement for speech emotion recognition via multi-level acoustic feature-Reference-Cited by-同舟云学术

Knowledge enhancement for speech emotion recognition via multi-level acoustic feature

Published:2024-02 Issue:1 Volume:36 Page:
ISSN:0954-0091
Container-title:Connection Science
language:en
Short-container-title:Connection Science

Author:

Zhao Huan¹,Huang Nianxin¹,Chen Haijiao¹

Affiliation:

1. College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/09540091.2024.2312103

Reference32 articles.

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3. Bakhshi A. Wong A. S. W. & Chalup S. K. (2020). End-to-end speech emotion recognition based on time and frequency information using deep neural networks. In Proceedings of the 24th European conference on artificial intelligence (ECAI) (pp. 969–975).

4. IEMOCAP: interactive emotional dyadic motion capture database

5. Cai X. Yuan J. Zheng R. Huang L. & Church K. (2021). Speech emotion recognition with multi-task learning. In Proceedings of the 22nd annual conference of the international speech communication association (Interspeech) (pp. 4508–4512).

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