Emotional Feature Analysis and Recognition in Multilingual Speech Signal

摘要：

In order to research the emotion recognition based on basic prosodic parameters, this paper discusses the statistical analysis of time, energy, pitch and formant parameters of multilingual emotional speeches, which includes Chinese, English, Russian, Korean and Japanese. A corpus of emotional speech spoken in multi-languages is collected. The statistical analysis shows that language factor doesn t affect pitch variation features of some given emotion obviously. Principle Component Analysis (PCA) method is used to recognize the states of emotion in multilingual speech. According to the recognition results, we conclude that basic emotion states in multilingual speech can be recognized by a few simple prosodic parameters.

关键词： emotional analysis emotional recognition principal component analysis.

作者: Yutai Wang Bo Li Qingfang Meng Ping Li

作者单位: School of Information Science and Engineering,University of Jinan Jinan 250022,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 4274-4278

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）