Research of the Auditory Feature Extraction Algorithm Based on Gammatone Filter Bank
The human auditory system has the ability of analyzing and recognizing signals.A good algorithm of auditory feature extraction can improve the performance of the speaker recognition system.The algorithm embarks from the simulation of human auditory perspective,and first the Gammatone filter is improved,and the improved filter(Gammatone-4 filter)can be used to more better simulate the human cochlea of auditory model,then introduces the equal loudness curve to pre-emphasis.Meanwhile,preliminarily extracted the GFCC.Finally,after the half-liter sine function cepstrum lifting technology to extract the speakers voice signal characteristic parameters NewGFCC.Experiments show that the algorithm has obvious improvement in recognition rate and robustness of speaker recognition.
auditory feature extraction Gammatone filter half-liter sine function cepstrum lifting technology speaker recognition
Zhangfang Hu Congcong Yue Yuan Luo Yu Liu
Chongqing University of Post and Telecommunication,Chongqing,China
国际会议
重庆
英文
444-449
2017-10-03（万方平台首次上网日期，不代表论文的发表时间）