Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (21): 187-189.

• 工程与应用 • Previous Articles     Next Articles

Speech recognition based on CHMM classified by gender identification

ZHANG Han-dong,LI Jin-wei   

  1. School of Electrical Engineering & Information,Anhui University of Technology,Maanshan,Anhui 243002,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-07-21 Published:2007-07-21
  • Contact: ZHANG Han-dong



  1. 安徽工业大学 电气信息学院,安徽 马鞍山 243002
  • 通讯作者: 张捍东

Abstract: A method of speech recognition based on Continuous Hidden Markov Model(CHMM) that is classified by gender identification is introduced.First,gender is identified using CHMM through calculating the Mel Frequency Cepstral Coefficient (MFCC),and then,speech recognition is realized by CHMM classified based on gender.In the end,the affectivity of the method is tested by an experiment.

Key words: CHMM, MFCC, gender identification, speech recognition

摘要: 对语音识别进行了探讨,提出一种通过性别识别对连续隐马尔可夫模型(CHMM)分类的方法,在此基础上进行语音识别。首先,通过计算性别判定语音信号的Mel频率倒谱系数(MFCC)使用CHMM对说话人性别进行识别,然后再根据不同性别使用分类CHMM进行语音识别。最后通过实验验证了方法的有效性。

关键词: CHMM, MFCC, 性别识别, 语音识别