Audio fingerprinting based on dynamic subband locating and normalized SSC

Audio fingerprint is a content-based compact feature that summarizes an audio clip. As same as we using human fingerprint to recognize people, audio fingerprint can be used to retrieval unknown audio clips. In this paper, we propose an algorithm which extracts audio fingerprint based on dynamic subband locating and normalized SSC (Spectral Subband Centroid). SSC has been found to be related the human sensation of the brightness of an audio signal. By using this algorithm, recognize an unknown audio clip efficient and highly robust in the presence of noise be possible. The preliminary result of our experiments shows prominent performance.