Research on Speech Emotion Recognition Method Based on Deep Learning
To improve the accuracy and efficiency of emotion recognition tasks, this article explores speech emotion recognition methods based on deep learning. Firstly, construct a comprehensive deep learning framework for processing speech emotion recognition tasks. Secondly, conduct in-depth research on the application of one-dimensional Convolutional Neural Networks (CNN) in speech sentiment analysis, and explore its advantages in feature extraction and sentiment classification. Finally, conduct experimental analysis. The experimental results show that this method can effectively recognize speech emotions and has a certain degree of stability and reliability.
deep learningConvolutional Neural Networks (CNN)speech analysisemotional recognition
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