Audio oracle: A new algorithm for fast learning of audio structures

Shlomo Dubnov, Gérard Assayag, Arshia Cont

Research output: Contribution to conferencePaperpeer-review

36 Scopus citations

Abstract

In this paper we present a new method for indexing of audio data in terms of repeating sub-clips of variable length that we call audio factors. The new structure allows fast retrieval and recombination of sub-clips in a manner that assures continuity between splice points. The resulting structure accomplishes effectively a new method for texture synthesis, where the amount of innovation is controlled by one of the synthesis parameters. In the paper we present the new structure and describe the algorithms for efficiently computing the different indexing links. Examples of texture synthesis are provided in the paper.

Original languageEnglish
Pages224-227
Number of pages4
StatePublished - 1 Jan 2007
Externally publishedYes
EventInternational Computer Music Conference, ICMC 2007 - Copenhagen, Denmark
Duration: 27 Aug 200731 Aug 2007

Conference

ConferenceInternational Computer Music Conference, ICMC 2007
Country/TerritoryDenmark
CityCopenhagen
Period27/08/0731/08/07

Fingerprint

Dive into the research topics of 'Audio oracle: A new algorithm for fast learning of audio structures'. Together they form a unique fingerprint.

Cite this