Robust audio fingerprint extraction algorithm based on 2-D chroma

Audio fingerprinting, like human fingerprint, identifies audio clips from a large number of databases successfully, even when the audio signals are slightly or seriously distorted. In the paper, based on 2-D, we propose an improved audio fingerprinting extraction algorithm which was proposed by Shazam company. The algorithm uses a combinatorial hashed time-frequency analysis of the audio, yielding unusual properties in which multiple tracks mixed together may each be identified. The results of experiment verify the improvement in the retrieval speed and accuracy.