APPARATUS AND METHOD FOR GROUPING TEMPORAL SEGMENTS OF A PIECE OF MUSIC

For grouping temporal segments of an audio piece, which is structured into main parts repeatedly occurring in the audio piece, into various segment classes, at first a similarity representation for the segments is provided, wherein the similarity representation for each segment comprises an associated plurality of similarity values, wherein the similarity values indicate how similar the segment is to every other segment of the audio piece. Hereupon, using the similarity values associated with the segment, a similarity threshold value for a segment is calculated in order to then associate a segment with a segment class when the similarity value of the segment meets a predetermined relation with reference to the similarity threshold value. With this, clustering is achieved, which also works efficiently and correctly where there are segments with strongly different or almost equal combined similarity values.