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基于CNN_LSTM的语音情感识别系统设计
引用本文:梁晓鸽,赵风海. 基于CNN_LSTM的语音情感识别系统设计[J]. 电声技术, 2020, 0(3): 27-28,36
作者姓名:梁晓鸽  赵风海
作者单位:南开大学电子信息与光学工程学院
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.

关 键 词:CNN  LSTM  语音情感识别  特征提取

Design of speech emotion recognition system based on CNN_LSTM
LIANG Xiaoge,ZHAO Fenghai. Design of speech emotion recognition system based on CNN_LSTM[J]. Audio Engineering, 2020, 0(3): 27-28,36
Authors:LIANG Xiaoge  ZHAO Fenghai
Affiliation:(School of Electronic Information and Optical Engineering,Nankai University,Tianjin 300350,China)
Abstract: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.
Keywords:CNN  LSTM  speech emotion recognition  feature extraction
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