Wednesday, November 20 • 12:30 - 14:00
Demo: Sieve - A plug-in for the intelligent browsing of drum samples using manifold learning

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Sieve is an experimental audio plug-in that was designed to aid in the process of navigating and selecting from large collections of drum samples. Kick and snare drum samples are automatically organized based on sound similarity and visualized on a 2D grid interface inspired by hardware interfaces such as the Ableton Push. Organization of drum samples is achieved using audio feature extraction and manifold learning techniques. Development of the plug-in was based on research focussed on determining the best method for computationally characterizing kick and snare drum samples evaluated using audio classification taks.  A functioning version of Sieve will be available for demonstration alongside a poster presentation that will outline the research methodologies used, as well as the implementation of the plug-in that was carried out using the JUCE software framework.

avatar for Jordie Shier

Jordie Shier

Student, University of Victoria
Jordie Shier is currently pursuing a master’s degree in computer science and music at the University of Victoria in Canada. He began research in this area at the end of his bachelor’s degree and has since presented work at the Workshop in Intelligent Music Production and AES NYC... Read More →

Wednesday November 20, 2019 12:30 - 14:00 GMT
Newgate Room Puddle Dock, London EC4V 3DB