Develop proficiency in MuBu and CataRT for sound creation, analysis, processing and synthesis, through the use of granular and concatenative synthesis techniques, audio analysis methods and machine learning approaches applied to composition and sound creation practices.

Objectives

By the end of the course, participants will be able to use the core functionalities of MuBu and CataRT within a sound creation environment, structure, manipulate and manage audio data in MuBu and implement advanced sound synthesis techniques including granular, concatenative, additive, PSOLA and spatial synthesis. They will be able to use audio analysis and segmentation tools for the processing, organisation and exploration of sound materials, mobilise machine learning approaches for sound creation using MuBu, PiPo, Mimo and XMM and develop corpus-based concatenative synthesis workflows within production, composition and performance contexts.

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