Jordi Janer
Technical Product Manager at Voicemod
Barcelona, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolJordi Janer is an audio technologist and technical product manager with over two decades of experience translating cutting-edge research into commercial voice and music tools. He co-founded Voctro Labs, steering patented AI voice processing products into industry use and later joining Voicemod to build new AI voices and creator-facing music tools. His background spans DSP engineering, academic research at Universitat Pompeu Fabra and McGill, and hands-on contributions to Essentia—adding signal‑processing algorithms and tutorials that reflect deep expertise in spectral analysis and source separation. Equally comfortable in C++ and Python, Jordi bridges R&D, product strategy, technology transfer and M&A, and has a track record of turning prototypes into licensed technologies for media, games and film. An often-overlooked strength is his ability to navigate both grant-driven research and product commercialization, making him effective at forming partnerships that scale scientific innovation.
11 years of coding experience
22 years of employment as a software developer
M.Sc. B.Sc., Electronic Engineering, M.Sc. B.Sc., Electronic Engineering at Universitat Ramon LlullPhD., Computer Science and Digital Communication, PhD., Computer Science and Digital Communication at Universitat Pompeu Fabra
english, german, spanish, catalan (mother tongue)
Github Skills (17)
fftw10
spec10
c-language10
synthesizer10
spectra10
signal-processing10
synthesis10
audio-analysis10
spectrum10
spectral10
fft10
synthesize10
sound-synthesis10
frequency-analysis10
cprogramming-language10
Programming languages (2)
Github contributions (5)
MTG/essentia
Mar 2015 - Aug 2016
C++ library for audio and music analysis, description and synthesis, including Python bindings
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:149 commits, 3 PRs, 5 comments in 1 year 5 months
Contributions summary:Jordi's commits focus on adding and modifying algorithms related to audio analysis and synthesis within the Essentia library. They introduced new functionalities, including the "OverlapAdd" algorithm and spectral analysis examples, suggesting a focus on signal processing techniques. Furthermore, the user contributed to a "SineModelAnal" algorithm, indicating involvement in audio feature extraction and potentially model building for audio data. The commits also involved creating and updating tutorial examples demonstrating spectral analysis workflows.
pythoncppc-librarymidipython-bindings
jjaner/essentia-musicbricks
Mar 2015 - Aug 2016
Contributions:146 pushes, 13 branches, 13 comments in 1 year 5 months
pythoncppc-librarypython-bindingsaudio
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