Super proud of this! Collaboration with David Rubinstein, Juanjo Bosch Gabriel Meseguer Sebastian Ewert Adam Rackis scott Brian L Dombrowski GuitareJazzManouche chingsung. Peter Sobot Jan Van Balen @nmontecc Daniel Stoller, Simon Durand, and Charae Tongg

Last Tuesday, Deezer France hosted the 10th X-IA meetup entitled "State of the Graphs". It included four presentations by graph researchers, including one by Guillaume Salha-Galvan from our team on graph-based music recommendation! Find out more about his work: guillaumesalhagalvan.com/doc/phdthesis_…

. Deezer is opening a new Ph.D. position to join our Deezer Research team. Feel free to reach out with any questions! deezerjobs.com/fr/postes/post…

Our research team is currently hiring a new Ph.D. candidate, to work on Natural Language Processing #NLP topics with Elena V. Epure and Romain Hennequin from Deezer and Christophe Cerisara from CNRS 🌍!🎓🎶 More details on the offer: deezerjobs.com/fr/postes/post…

#ISMIR2022 has started! Three team members are physically attending Darius Afchar Gabriel Meseguer and Benjamin Martin. Reach out at #Deezer Booth in Bangalore!

Day 1: Humans of #ISMIR2022, Bengaluru ✨

A double dose of Deezer today at #ISMIR2022! "Learning Unsupervised Hierarchies of Audio Concepts" by Darius Afchar, R. Hennequin, and V. Guigue was also presented live in Bangalore earlier today! 👏 Find out more about this work: ismir2022program.ismir.net/poster_29.html MLIA ISMIR Conference

Congrats to Darius Afchar, R. Hennequin, and V. Guigue! "Of Spiky SVDs and Music Recommendation" has been shortlisted among the best short paper candidates at #RecSys2023! 👏 Paper: arxiv.org/pdf/2307.01212… Poster: this Friday in Hall 405 ACM RecSys Deezer AgroParisTech MLIA

The Deezer Research team at #ISMIR23 💜

We are MTG (MTG-UPF) 🎶 See you next year in San Francisco 🌉ISMIR Conference

Our paper "An Experimental Comparison of Multiview Self-supervised Methods For Music Tagging" was accepted at #ICASSP2024! Work with Dorian Desblancs and romain hennequin which compares different self-supervised methods for music tagging. Code and preprint soon. Stay tuned!

We are at #ICASSP2024 to present a paper by Gabriel Meseguer , Dorian Desblancs and Romain Hennequin on Self-supervized methods for Music Tagging

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From Real to Cloned Singer Identification by Dorian Desblancs, Gabriel Meseguer Brocal, Romain Hennequin and Manuel Moussallam: lnkd.in/eu62eUu2 where we investigate ways to identify artist's cloned voices in mixtures.

STONE : Self-supervised Tonality Estimator by Yuexuan Kong, Vincent Lostanlen Gabriel Meseguer Brocal Stella Wong, Mathieu Lagrange and Romain Hennequin lnkd.in/ed9zmZ2t STONE is the first self-supervised tonality estimator using the ChromaNet architecture.

Not that I'm active whatsoever. For more nothingness, follow me on bluesky! bsky.app/profile/gabols…

🧑‍🎓Our ISMIR Conference Tutorial "Deep Learning 101 for Audio-based MIR" provides a broad introduction to music audio processing, analysis, and generation. 📘The book and jupyter notebooks: geoffroypeeters.github.io/deeplearning-1… 📽️The recording of the tutorial: us02web.zoom.us/rec/share/QzHM… Gabriel Meseguer

Happy to say that our tutorial for Self-Supervised Learning in MIR was accepted ISMIR Conference 2025!! Join Alain Riou, Marco Pasini Yuexuan KONG, Gabriel Meseguer and Stefan Lattner, and myself in Daejeon in september to learn more about music SSL 🎶 Stay tuned for paper preprints 🎀