3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition-Reference-Cited by-同舟云学术

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3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition

Published:2018-10 Issue:10 Volume:25 Page:1440-1444
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Chen Mingyi^ORCID,He Xuanji^ORCID,Yang Jing^ORCID,Zhang Han^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/8438411/08421023.pdf?arnumber=8421023

Cited by 358 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. A Combined CNN Architecture for Speech Emotion Recognition;Sensors;2024-09-06

2. Squeeze-and-excitation 3D convolutional attention recurrent network for end-to-end speech emotion recognition;Applied Soft Computing;2024-08

3. Enhanced speech emotion recognition using averaged valence arousal dominance mapping and deep neural networks;Signal, Image and Video Processing;2024-07-10

4. Speech emotion recognition using the novel SwinEmoNet (Shifted Window Transformer Emotion Network);International Journal of Speech Technology;2024-07-10

5. MVIB-DVA: Learning minimum sufficient multi-feature speech emotion embeddings under dual-view aware;Expert Systems with Applications;2024-07

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