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Audio Oracle: A New Algorithm for Fast Learning of Audio Structures

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text
 

Genre(s)

article
 

Forme(s)

document numérique
 

Cette ressource est disponible chez l'organisme suivant : Ircam - Centre Pompidou

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Titre

Audio Oracle: A New Algorithm for Fast Learning of Audio Structures
 

Nom(s)

Dubnov, Shlomo (auteur)
 
Cont, Arshia (auteur)
 
Assayag, Gérard (auteur)
 

Publication

Copenhague, Denmark , 2007
 

Description

Sujet(s)

Audio Structure Discovery   Sequential Learning   Texture Synthesis
 

Résumé

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.
 

Note(s)

Contribution au colloque ou congrès : International Computer Music Conference
 

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Date de la notice

2010-02-25 01:00:00
 

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