Research on Speech Emotion Recognition Method Based on Lightweight Convolutional Neural Networks
To improve the accuracy of speech emotion recognition methods, a speech emotion recognition method based on lightweight convolutional neural networks is studied. Firstly, analyze the theoretical framework of speech emotion recognition. Secondly, analyze the basic structure and specific principles of Temporal Convolutional Network (TCN). Finally, conduct experiments using a dataset. The experimental results show that the speech emotion recognition method based on TCN has good performance and effectiveness in different experiments.
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