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基于CNN_LSTM的语音情感识别系统设计 被引量:2

Design of speech emotion recognition system based on CNN_LSTM
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摘要 本文设计了一种基于CNN和LSTM语音情感识别神经网络结构,其在识别多分类情感时表现良好,与使用单卷积核、双卷积核网络结构相比,本文结构表现更加优秀。 In this paper,a neural network structure based on CNN and LSTM for speech emotion recognition is designed.It performs well in the recognition of multi-category emotions.Compared with the network structure using single convolution kernel and double convolution kernel,the structure of this paper performs better.
作者 梁晓鸽 赵风海 LIANG Xiaoge;ZHAO Fenghai(School of Electronic Information and Optical Engineering,Nankai University,Tianjin 300350,China)
出处 《电声技术》 2020年第3期27-28,36,共3页 Audio Engineering
关键词 CNN LSTM 语音情感识别 特征提取 CNN LSTM speech emotion recognition feature extraction
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