MS-SENet: Enhancing Speech Emotion Recognition Through Multi-Scale Feature Fusion with Squeeze-and-Excitation Blocks
Author:
Affiliation:
1. Qifu Technology,Shanghai,China
2. Fudan University,School of Computer Science,Shanghai,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447232.pdf?arnumber=10447232
Reference26 articles.
1. Speech emotion recognition
2. Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques
3. Optimal feature selection based speech emotion recognition using two‐stream deep convolutional neural network
4. Pseudo-colored rate map representation for speech emotion recognition
5. The Application of Capsule Neural Network Based CNN for Speech Emotion Recognition
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