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School of Electronic Engineering and Computer Science

Tyler McIntosh



Project title: Expressive Performance Rendering for Music Generation Systems 

Industry partner: DAACI 

C4DM theme affiliation: Audio Engineering and Music Cognition  

Abstract: Expressive Performance Rendering refers to the task of automatically assigning performance parameters (e.g. velocity, micro-timing, pedal use or bowing types) to MIDI scores to make the resulting synthesized audio approach a natural sounding performance. Expanding existing work towards a generic style-aware model that analyses a multi-track score as a whole and predicts performance parameters in a single step is a crucial step towards a fully-automatic composition pipeline. This project ranges from an assessment of the generalisation capabilities of existing methods to advancing the state of the art using contemporary data-driven approaches, including sequence-aware deep neural networks. 


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