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 |