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基于MFCC和CHMM技术的语音情感分析及其在教育中的应用研究
引用本文:张永皋,马青玉,孙青. 基于MFCC和CHMM技术的语音情感分析及其在教育中的应用研究[J]. 南京师范大学学报, 2009, 9(2): 89-92
作者姓名:张永皋  马青玉  孙青
作者单位:张永皋,孙青,Zhang Yonggao,Sun Qing(南京师范大学,教育科学学院,江苏,南京,210097);马青玉,Ma Qingyu(南京师范大学,物理科学与技术学院,江苏,南京,210097)  
基金项目:教育部留学回国人员科研启动基金,南京师范大学留学回国人员基金,南京师范大学教务处精品实验资助项目 
摘    要:语音情感识别作为一个新的研究热点,因其能解决教育中情感缺失的问题,而越来越受到研究者的重视.选取符合人类听觉系统感知的M el频率倒谱系数(MFCC)与各态历经型的连续隐马尔可夫模型(CHMM)进行语音情感特征的分析,并对大量的语音信号进行情感识别实验,识别正确率达到86.7%,为教育中的情感补偿提供了切实可行的依据.

关 键 词:MFCC  CHMM  情感识别

Investigation on Speech Emotion Analyses and Its Application in Education Based on MFCC and CHMM Techniques
Zhang Yonggao,Ma Qingyu,Sun Qing. Investigation on Speech Emotion Analyses and Its Application in Education Based on MFCC and CHMM Techniques[J]. Journal of Nanjing Nor Univ: Eng and Technol, 2009, 9(2): 89-92
Authors:Zhang Yonggao  Ma Qingyu  Sun Qing
Affiliation:1.School of Educational Science;Nanjing Normal University;Nanjing 210097;China;2.School of Physics and Technology;China
Abstract:As a new research hotspot,speech emotion recognition attracts more and attentions from researchers for its solution of the emotion loss in distance education.Based on the perception of the human auditory system,the Mel Frequency Cepstral Coefficients(MFCC) and the Continuous Hidden Markov Model(CHMM) techniques are used in this paper for speech characteristic analyses and emotion identification.The recognition accuracy of 87.6% is achieved in the experiment for large numbers of speech signals and the potent...
Keywords:MFCC  CHMM
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