Speech Emotion Recognition Based on Attention MCNN Combined With Gender Information
Author:
Affiliation:
1. Key Laboratory of Optoelectronic Information Sensing and Technology, Chongqing University of Posts and Telecommunications (CQUPT), Chongqing, China
Funder
National Natural Science Foundation Youth Fund Project
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10129941.pdf?arnumber=10129941
Reference38 articles.
1. Speech Emotion Recognition Using Clustering Based GA-Optimized Feature Set
2. Clustering-based speech emotion recognition by incorporating learned features and deep BiLSTM;sajjad;IEEE Access,2020
3. Speech emotion recognition based on convolutional neural network with attention-based bidirectional long short-term memory network and multi-task learning
4. Fusing Visual Attention CNN and Bag of Visual Words for Cross-Corpus Speech Emotion Recognition
5. 3D Convolutional Neural Network for Speech Emotion Recognition With Its Realization on Intel CPU and NVIDIA GPU
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