Graph-Based Audio Looping And Granulation

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

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the 24th International Conference on Digital Audio Effects
Subtitle of host publication(DAFx20in21)
Pages253-259
Number of pages7
Publication statusPublished - 8 Sep 2021
Event24th International Conference on Digital Audio Effects - Vienna University of Music an Performing Arts (Virtual due to COVID-19), Virtual, Austria
Duration: 8 Sep 202110 Sep 2021
Conference number: 24
https://dafx2020.mdw.ac.at/

Publication series

NameProceedings of the International Conference on Digital Audio Effects (DAFx)
ISSN (Print)2413-6700
ISSN (Electronic)2413-6689

Conference

Conference24th International Conference on Digital Audio Effects
Abbreviated titleDAFx20in21
CountryAustria
CityVirtual
Period8/09/2110/09/21
Internet address

Fingerprint

Dive into the research topics of 'Graph-Based Audio Looping And Granulation'. Together they form a unique fingerprint.

Cite this