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Corpus-Based Concatenative Synthesis : Assembling sounds by content-based selection of units from large sound databases

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text
 

Genre(s)

article
 

Forme(s)

document imprimé
 

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Titre

Corpus-Based Concatenative Synthesis
 

Sous-Titre

Assembling sounds by content-based selection of units from large sound databases
 

Nom(s)

Schwarz, Diemo (auteur)
 

Publication

2007
 

Description

Sujet(s)

corpus-based synthesis   content-based selection   sound synthesis   concatenative synthesis   data-driven synthesis   unit selection   database   real-time   interaction
 

Résumé

Corpus-based concatenative methods for musical sound synthesis have attracted much attention recently. They make use of a variety of sound snippets in a database to assemble a desired sound or phrase according to a target specification given in sound descriptors or by an example sound. With ever-larger sound databases easily available, together with a pertinent description of their contents, they are increasingly used for composition, high-level instrument synthesis, interactive exploration of a sound corpus, and others. This paper gives an overview of the components needed for corpus-based concatenative synthesis, and details of some realisations. Signal processing methods are crucial for all parts of analysis, (segmentation and descriptor analysis), for synthesis, and can intervene in the selection part e.g. for spectral matching.
 

Note(s)

Article paru dans : IEEE Signal Processing vol. 24 n°2
 

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Date de la notice

2008-02-12 01:00:00
 

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