Juan Burred
Co-Founder & Chief Artificial Intelligence Officer at Avinova
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolJuan Burred is a Paris-based researcher, software developer and musician who builds machine learning tools for sound and music creation, analysis and search. With a PhD from Technische Universität Berlin and research stints at IRCAM, Audionamix and UC Berkeley’s CNMAT, he specializes in source separation, sound synthesis and content-based audio retrieval. He founded Anemond to distribute Factorsynth and Factoid—ML-driven toolkits that deconstruct and resynthesize sound—and now serves as Co-Founder & Chief AI Officer at a new venture. Over 8+ years of professional experience and a decade of freelance R&D, he consults for artists, institutions and companies to translate cutting-edge audio research into usable tools. Classically trained as a pianist and active in two bands, he blends rigorous signal-processing expertise with practical musical insight, often designing methods explicitly aimed at creative practice rather than just benchmark performance.
8 years of coding experience
12 years of employment as a software developer
Visiting Scholar Music Technology, Visiting Scholar Music Technology at University of California, BerkeleyPhD Electrical Engineering, PhD Electrical Engineering at Technische Universität BerlinMSc Telecommunications Engineering, MSc Telecommunications Engineering at Universidad Politécnica de Madrid
Spanish, German, English, French
Github Skills (13)
extraction10
pitch10
source-separation9
mfcc9
music9
spectrogram9
permutation8
audio8
speech8
python7
time-frequency6
pytorch5
neural-network1
Programming languages (4)
Github contributions (5)
neuro-team-femto/cleese
Mar 2018 - Mar 2022
Combinatorial Expressive Speech Engine
Contributions:31 commits, 2 PRs, 23 pushes in 4 years
speech
jjburred/demucs
Feb 2021 - Feb 2021
Code for the paper Music Source Separation in the Waveform Domain
Contributions:3 pushes in 1 day
source-separationsound-synthesismusic-source-separationdomainmir
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