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A System for Data-Driven Concatenative Sound Synthesis

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text
 

Genre(s)

article
 

Forme(s)

document numérique
 

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Titre

A System for Data-Driven Concatenative Sound Synthesis
 

Nom(s)

Schwarz, Diemo (auteur)
 

Publication

Verona, Italy , 2000
 

Description

Sujet(s)

sound synthesis   unit selection   data-driven   concatenative synthesis   perceptive distance function   Viterbi algorithm
 

Résumé

In speech synthesis, concatenative data-driven synthesis methods prevail. They use a database of recorded speech and a unit selection algorithm that selects the segments that match best the utterance to be synthesized. Transferring these ideas to musical sound synthesis allows a new method of high quality sound synthesis. Usual synthesis methods are based on a model of the sound signal. It is very difficult to build a model that would preserve the entire fine details of sound. Concatenative synthesis achieves this by using actual recordings. This data-driven approach (as opposed to a rule-based approach) takes advantage of the information contained in the many sound recordings. For example, very naturally sounding transitions can be synthesized, since unit selection is aware of the context of the database units. The Caterpillar software system has been developed to allow data-driven concatenative unit selection sound synthesis. It allows high-quality instrument synthesis with high level control, explorative free synthesis from arbitrary sound databases, or resynthesis of a recording with sounds from the database. It is based on the new software-engineering concept of component-oriented software, increasing flexibility and facilitating reuse.
 

Note(s)

Contribution au colloque ou congrès : Digital Audio Effects (DAFx)
 

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Date de la notice

2010-02-25 01:00:00
 

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