A new cepstrum coefficients applied to acoustic target recognition

A kind of cepstrum coefficients based on new feature was presented. Compared with Mel-frequency cepstral coefficients (MFCC) used extensively at present, it was improved for computing the new cepstrum feature in acoustic target recognition that 1) the bank of triangular filters was improved based on cochlear model; 2) the log-compressed was replaced by the exp-compressed which is the function of frequency; 3) the adaptive mechanism was introduced into the process of transformation from frequency domain to perceptual domain. Simulations of the four acoustic target recognition were carried out. The simulated results show that the proposed features have strong anti-noise ability.