【摘要】 本文分析了含有欢快、愤怒、惊奇、悲伤等 4种情感语音信号的时间构造、振幅构造、基频构造和共振峰构造的特征。通过和不带情感的平静语音信号的比较 ,总结了不同情感语音信号的情感特征的分布规律。根据这些分析 ,提取了 9个情感特征进行了情感识别的实验 ,获得了基本上接近于人的正常表现的识别结果。更多还原

【Abstract】 This paper analysis the feature of the time、amplitude、pitch and formant construction involved such four emotions as happiness、anger、surprise and sorrow.Through comparison with non emotional quiet speech signal,we sum up the distribution law of emotional feature including different emotional speech.Nine emotional features were extracted from emotional speech for recognizing emotion.We introduce two emotional recognition methods based on principal component analysis and the results show that these method can provide an effective solution to emotional recognition.更多还原