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%0 Conference Proceedings
%A Schwarz, Diemo
%A Schnell, Norbert
%T A Modular Sound Descriptor Analysis Framework for Relaxed-real-time Applications
%D 2010
%B International Computer Music Conference (ICMC)
%C New York
%F Schwarz10b
%K descriptor extraction
%K real-time processing
%K sound analysis
%K Max/MSP
%K audio descriptors
%K modularity
%X 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.
%1 6
%2 3
%U http://articles.ircam.fr/textes/Schwarz10b/