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A Modular Sound Descriptor Analysis Framework for Relaxed-real-time Applications

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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

A Modular Sound Descriptor Analysis Framework for Relaxed-real-time Applications
 

Nom(s)

Schwarz, Diemo (auteur)
 
Schnell, Norbert (auteur)
 

Publication

New York, USA , 2010
 

Description

Sujet(s)

descriptor extraction   real-time processing   sound analysis   Max/MSP   audio descriptors   modularity
 

Résumé

Audio descriptor analysis in real-time or in batch is increasingly important for advanced sound processing, synthesis, and research, often using a relaxed-real-time approach. Existing approaches mostly lack either modularity or flexibility, since the design of an efficient modular descriptor analysis framework for commonly used real-time environments is non-trivial. We first lay out the requirements for such a framework before describing our modular architecture that integrates instantaneous descriptors, segmentation modules, temporal modeling, converter modules, and external descriptors or meta-data. We present its proof of concept implementation in Max/MSP and examples that show the simplicity with which new analysis modules can be written.
 

Note(s)

Contribution au colloque ou congrès : International Computer Music Conference (ICMC)
 

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Date de la notice

2010-08-09 02:00:00
 

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