华东交通大学学报2017，Vol.34Issue(2)：100-104,5.
基于语音信号与文本信息的双模态情感识别
Multimodal Emotion Recognition Based on Speech Signal and Text Information
摘要
Abstract
Emotion recognition has become an indispensable part of human-computer interaction. This paper propsesa fusion method of speech signal and the text information in emotion recognition,because of the low recognition rate and poor reliability of single modal emotion recognition. First of all ,collecting specific emotional state of the speech signal and text information;then extracting the speech feature parameters and keywords emo-tional char acteristic parameters of text information and optimize it; finally, recognition results are obtained by weighted fusion of the output results of two single modal identification devices. According to the results of exper-imaental,it showed that the dualmodal emtoion recognition technology has higher recognition accuracy.关键词
语音信号/文本识别/参数优化/高斯混合模型Key words
speech signal/text recognition/parameter optimization/gauss mixture model分类
信息技术与安全科学引用本文复制引用
陈鹏展,张欣,徐芳萍..基于语音信号与文本信息的双模态情感识别[J].华东交通大学学报,2017,34(2):100-104,5.基金项目
国家自然科学基金资助项目(61164011) （61164011）
江西省研究生创新专项资金项目(YC2015-S242) （YC2015-S242）
江西省博士后科研择优资助项目(2015KY19) （2015KY19）
