JJBurred
Average Vendor RatingJ.J. Burred is an independent researcher, software developer and musician based in Paris.
With a background in machine learning and signal processing, his work aims at developing innovative tools for music and sound creation, analysis and search.
After earning a PhD from the Technical University of Berlin, he worked as a researcher at IRCAM and Audionamix, on topics such as source separation, automatic music analysis, sound classification, content-based search and sound synthesis. His current main activity concerns the exploration of machine learning techniques for new methods of sound analysis/synthesis aimed at musical creation.
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Showing all 2 results
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FACTORmini
The younger sibling of Factosynth
Factormini is the introductory version of Factorsynth, a powerful new type of musical tool that brings machine learning to Ableton Live. Both devices use a data analysis algorithm called matrix factorization to decompose any audio clip into a set of temporal and spectral elements. By rearranging and modifying these elements you can do powerful transformations to your clips, such as removing notes or motifs, creating new ones, randomizing melodies or timbres, changing rhythmic patterns, remixing loops in real time, creating complex sound textures…
Developer: JJ Burred | Compatibility: Ableton Live 9.7.5 | Live 10+ | OS: Mac & Windows | Minimum Requirements: MaxforLive 7 is Essential
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Factorsynth
Rated 5.00 out of 5Machine Learning in Ableton Live
Factorsynth is a new kind of musical tool. It uses machine learning techniques to decompose any input sound into a set of temporal and spectral elements.
By rearranging and modifying these elements you can do powerful transformations to your clips, such as removing notes or motifs, creating new ones, randomizing melodies or timbres, changing rhythmic patterns, remixing loops in real time, creating complex sound textures…
Developer: JJ Burred | Compatibility: Ableton Live 9.7.5 | Live 10+ | OS: Mac & Windows | Minimum Requirements: MaxforLive 7 is Essential