Research on Intelligent Financial Customer Service System Based on Speech Emotion Recognition
This paper proposes a hybrid feature-based speech emotion recognition algorithm,which utilizes an LSTM deep learning network to jointly learn PLP and MFCC features.This approach aims to automatically extract the optimal feature representations,thereby enhancing the accuracy of speech emotion recognition.Building on this,a novel architecture for an intelligent financial customer service system is designed.Finally,experiments validate the effectiveness of the proposed method in improving the accuracy of speech emotion recognition within the intelligent financial customer service system.
万方数据
维普
