Research on Real-Time Speech Emotion Recognition Framework

被引：1

作者：

Tang, Guichen ^{[1
]}

Liang, Ruiyu ^{[2
]}

Wang, Jie ^{[3
]}

Zhu, Yue ^{[2
]}

机构：

[1] Nanjing Inst Technol, Sch Commun Engn, Nanjing, Jiangsu, Peoples R China

[2] Southeast Univ, Sch Informat Sci & Engn, Nanjing, Jiangsu, Peoples R China

[3] Guangzhou Univ, Coll Mech & Elect Engn, Guangzhou, Guangdong, Peoples R China

来源：

2018 INTERNATIONAL CONFERENCE ON ROBOTS & INTELLIGENT SYSTEM (ICRIS 2018) | 2018年

基金：

中国国家自然科学基金;

关键词：

emotion recognition; speech enhancement; echo cancellation; Wiener filter;

D O I：

10.1109/ICRIS.2018.00117

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Speech emotion recognition(SER) is an important research orientation in the field of artificial intelligence. In view of the current status of speech emotion recognition mainly focused on the database, a real-time SER framework is proposed. In this paper, commonly used algorithms for real-time speech processing systems are involved and briefly introduced. Finally, the validity of the model is verified through experimental verification.

引用

页码：446 / 448

页数：3

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