標題: Speech signal-based emotion recognition and its application to entertainment robots
作者: Song, Kai-Tai
Han, Meng-Ju
Wang, Shih-Chieh
電機資訊學士班
Undergraduate Honors Program of Electrical Engineering and Computer Science
關鍵字: emotion recognition;speech signal processing;human-robot interaction
公開日期: 2014
摘要: By recognizing sensory information, through touch, vision, or voice sensory modalities, a robot can interact with people in a more intelligent manner. In human-robot interaction (HRI), emotion recognition has been a popular research topic in recent years. This paper proposes a method for emotion recognition, using a speech signal to recognize several basic human emotional states, for application in an entertainment robot. The proposed method uses voice signal processing and classification. Firstly, end-point detection and frame setting are accomplished in the pre-processing stage. Then, the statistical features of the energy contour are computed. Fisher's linear discriminant analysis (FLDA) is used to enhance the recognition rate. In the final stage, a support vector machine (SVM) is used to complete the emotional state classification. In order to determine the effectiveness of emotional HRI, an embedded system was constructed and integrated with a self-built entertainment robot. The experimental results for the entertainment robot show that the robot interacts with a person in a responsive manner. The average recognition rate for five emotional states is 73.8% using the database constructed in the authors' lab.
URI: http://hdl.handle.net/11536/23637
http://dx.doi.org/10.1080/02533839.2012.751330
ISSN: 0253-3839
DOI: 10.1080/02533839.2012.751330
期刊: JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS
Volume: 37
Issue: 1
起始頁: 14
結束頁: 25
顯示於類別:期刊論文


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