Study on Emotional Feature Analysis and Recognition in Chinese and English Speech Signal
Emotion recognition of speech is becoming one of the new research projects. The features of prosodic parameters are considered as the direct reflection of emotional information in speech signals. In order to research the emotion recognition based on basic prosodic parameters, we discuss the statistical analysis of time, energy, pitch and formant parameters of multilingual emotional speech. A corpus of emotional speech spoken in Chinese and English 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.
emotional analysis emotional recognition principal component analysis
Wang Yutai Li Bo Wang Yanan
School of Information Science and Engineering,University of Jinan,Jinan 250022 China
国际会议
北京
英文
2008-11-01（万方平台首次上网日期，不代表论文的发表时间）