Emotion Speech Recognition Under Sadness Conditions

摘要：

Sadness, one of the negative emotions, may cause undesirable impact to the daily life. Therefore, it is desirable to automatically detect sadness emotion in human-machine interactions in order to adopt measures to impair the negative effects caused by it Speech is one of the means used by human to express emotions, therefore, it is reasonable to detect sadness emotion using speech samples. In this paper, we analyzed relevant speech features, and proposed an improved Back Propagation (BP) network for sadness recognition. The experimental results show that the improved BP network proposed has better performance than traditional BP networks in detecting sadness emotion.

关键词： BP network Interference mechanism iteration local optimum

作者: Liang He Longhui Guo Huaizhong Li

作者单位: College of Physics and Electronic Information Engineering Wenzhou University Wenzhou,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 19-22

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）