Self-similarity matrices have become an important tool for visualizing the repetitive structure of a music recording. Transforming an audio data stream into a feature sequence, one obtains a self-similarity matrix by pairwise comparing all features of the sequence with respect to a local cost measure. The basic idea is that similar audio segments are revealed as paths of low cost along diagonal...