Graph-Based Audio Looping and Granulation
In this paper we describe similarity graphs computed from timefrequency analysis as a guide for audio playback, with the aim
of extending the content of fixed recordings in creative applications. We explain the creation of the graph from the distance between spectral frames, as well as several features computed from
the graph, such as methods for onset detection, beat detection, and
cluster analysis. Several playback algorithms can be devised based
on conditional pruning of the graph using these methods. We describe examples for looping, granulation, and automatic montage.