An Auditory Feature Extraction Method for Robust Speaker Recognition

摘要：

　　Based on simulate human auditory model,the paper proposed an auditory cepstrum coefficient for speaker recognition.This paper analyzed the working mechanism of the human auditory model,and simulated the auditory model of human ear cochlea by gammatone filter banks instead of the traditional triangular filter banks; Based on the nonlinear signal processing capability of human auditory model,exponential compression is used instead of the fixed logarithm compression used in the classic MFCC.Finally,the simulation experiments were conducted based on GMM recognition algorithm.The experimental results show that the proposed auditory cepstrum coefficient has better noise robustness than MFCC and LPCC.

关键词： Speaker recognition Feature extraction Gammatone Filter Auditory model

作者: Fengsong Hu Xiaoyu Cao

作者单位: College of Information Science and Engineering Hunan University Changsha 410082, China

会议类型: 国际会议

会议名称: 2012 IEEE 14th International Conference on Communication Technology(2012年第十四届通信技术国际会议(ICCT 2012))

会议地点: 成都

会议语种:英文

页码: 1134-1138

在线出版日期: 2012-11-09（万方平台首次上网日期，不代表论文的发表时间）