Abstract：Aiming at providing a solution to the problems that the feeblish robustness of general algorithms in dealing with the linear speed change attacks and their overlarge fingerprint memory space, an audio fingerprint algorithm based on db4 wavelet transformation combined with statistical characteristics of wavelet domain is proposed. At first, decompose the audio signal in 5-layer wavelet. Then calculate the plus-minus change of low-frequency sub-band’s wavelet coefficient, the energy distribution center, the energy of sub-band in wavelet domain, and the variance of wavelet coefficient. Finally, by using the results calculated as parameters of audio fingerprints, the 8-bit fingerprint block per frame was generated. Simulation results suggest that this algorithm shows excellent robustness in dealing with the attacks toward ordinary stick signal content and additive white Gaussian noise, and linear speed change attacks. Moreover, the memory space taken up by fingerprints is less.
2011, Vol. 8 
