Fingerprint Matching Using Transformation Parameter Clustering

The basis for this comparison is a song’ s musical ‘ fingerprint’ , which is computed by clustering a set of spectral features represented by the Mel-Frequency Cepstral Coefficients (MFCC) of the audio signal. This fingerprint not onl