Abstract
Emotional information recognition is an important application in the field of artificial intelligence. This paper analyzes the existing speech emotion recognition system, based on the improved neural network strategy to improve the accuracy of speech emotion recognition, through the combination of convolution neural network (CNN) and long-term and short-term neural network (LSTM), the emotional data information is successfully recognized, and the better accuracy is obtained.
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