Graph-based audio looping and granulation

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Original languageEnglish
Title of host publicationProceedings of the 24th International Conference on Digital Audio Effects (DAFx2020)
Number of pages7
Publication statusPublished - 8 Sep 2021
Externally publishedYes
In this paper we describe similarity graphs computed from time-frequency 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 be-tween 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 de-scribe examples for looping, granulation, and automatic montage.

    Research areas

  • Graphs, Audio looping, Granulation

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External organisations

  • University of Huddersfield

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