计算机科学 ›› 2012, Vol. 39 ›› Issue (12): 198-203.

• 人工智能 • 上一篇    下一篇

噪声环境下说话人识别的TEO-CFCC特征参数提取方法

李晶皎 安冬 杨丹 王骄   

  1. (东北大学信息科学与工程学院 沈阳 110819)
  • 出版日期:2018-11-16 发布日期:2018-11-16

TEo-CrCC Characteristic Parameter Extraction Method for Speaker Recognition in Noisy Environments

  • Online:2018-11-16 Published:2018-11-16

摘要: 针对广泛应用于说话人识别的MFCC特征参数在低信噪比环境下识别正确率急剧下降的问题,提出了一种 TECLCFCC特征参数提取方法。在CFCC特征参数的基础上,首先通过信号相位匹配的方法消除语音噪声,然后在 CFCC特征参数的求取过程中加入Teager能量算子,将语音的能量作为说话人的特征参数之一,得到TECLCFCC特 征参数。实验表明,提出的"I'E+CFCC特征参数在信噪比为一5d>3的汽车噪声条件下,识别正确率可达到83.2000

关键词: 听觉变换,相位匹配,能量算子,说话人识别

Abstract: Considering the sharp decline in the recognition accuracy of MFCC characteristic parameter for speaker recog} nition in low SNR environments, this paper proposed TEC}CFCC characteristic parameter extraction method. Signal phase matching is applied to eliminate speech noise on the basis of CFCC characteristic parameter, and then teager energy operator is added to the acquisition of CFCC characteristic parameter. In this way TEC}CFCC characteristic parameter is obtained and the energy of speech becomes one of the characteristic parameters for speaker recognition. Experiment results show that the recognition accuracy can reach to 83. 2 0 o in a一5dI3 SNR of vehicle interior noise environment by using TEC)-CFCC characteristic parameter.

Key words: Auditory transform, Phase matching, Energy operator, Speaker recognition

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