Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (15): 194-195.DOI: 10.3778/j.issn.1002-8331.2009.15.056

• 图形、图像、模式识别 • Previous Articles     Next Articles

Speaker recognition based on KLT and MMCE

FAN Xiao-chun,QIU Zheng-quan   

  1. School of Information and Electrical Engineer,Hunan University Science and Technology,Xiangtan,Hunan 411201,China
  • Received:2008-03-27 Revised:2008-06-19 Online:2009-05-21 Published:2009-05-21
  • Contact: FAN Xiao-chun

基于KLT算法和MMCE的说话人识别

范小春,邱政权   

  1. 湖南科技大学 信息与电气工程学院,湖南 湘潭 411201
  • 通讯作者: 范小春

Abstract: In this paper,a kind of novel speech de-noising method based on the combination of wavelet de-noising and adapting KLT is proposed.The speech de-noising arithmetic of adapting KLT need not white processing.It is adapted to tract KLT matrix,as well as effectively harmonized the contradiction between signal tone after de-noising and intelligibility.At the recognition stage,Modified MCE is adopted.The experiment is showed that the hybrid system can indeed enhance the robust and the speaker recognition rate of speaker recognition.

摘要: 利用自适应KLT提出了一种新的语音去噪方法。自适应KLT的语音去噪算法,不需要白化处理,既可以自适应跟踪KLT阵,又能够有效地协调去噪后信号的音质与可懂度之间的矛盾。在说话人识别阶段采用改进的MCE。实验表明,该混合系统确实能够增强说话人辨认的鲁棒性和识别率。