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基于HMM的语音信号情感识别研究
引用本文:国辛纯,郭继昌,窦修全.基于HMM的语音信号情感识别研究[J].电子测量技术,2006,29(5):69-70,80.
作者姓名:国辛纯  郭继昌  窦修全
作者单位:1. 天津大学电信学院,天津,300072
2. 中国电子科技集团第54研究所,石家庄,050000
摘    要:包含在语音信号中的情感信息是一种很重要的信息,它是人们感知事物不可缺少的部分。本文在语音识别的基础上提出了应用隐马尔可夫模型(HMM)进行语音信号情感识别的研究。从情感语音的分类、情感语音资料的获取、情感语音特征提取及情感语音识别等方面,讨论了应用连续隐马尔可夫模型进行情感识别的整个过程,并得到了比较理想的识别结果。

关 键 词:语音信号  情感识别  HMM

Research on emotion recognition of speech signal based on HMM
Guo Xinchun,Guo Jichang,Dou Xiuquan.Research on emotion recognition of speech signal based on HMM[J].Electronic Measurement Technology,2006,29(5):69-70,80.
Authors:Guo Xinchun  Guo Jichang  Dou Xiuquan
Affiliation:1 College of Electronic Information Engineering, Tianjin University, Tianjin 300072; 2. No. 54 Research Institute of CETC, Shijiazhuang 050081
Abstract:The information that the speech signal contained is very important for people to apperceive the world. In this paper, we bring forward and discuss the emotion recognition of speech signal using hidde Markov models(HMM). We research the process of emotion recognition using CHMM involving the gain of emotional speech, the extract of emotion features, emotion recognition and so on. We have achieved an ideal recognition.
Keywords:speech signle  emotion recognition  HMM
本文献已被 CNKI 维普 万方数据 等数据库收录!
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