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  1. Prikvačeni tweet
    31. lis 2019.

    Today we are very proud to open-source Spleeter a music source separation tool made here at R&D. Part of the team will be at to demonstrate it's capabilities. See you in Delft if you plan to attend and happy hacking everyone!

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  2. proslijedio/la je Tweet
    2. velj
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  3. proslijedio/la je Tweet

    ➡️ "Gender Equality Monitor", c'est parti ! Cet ambitieux projet de recherche coordonné par rassemble un consortium académique et industriel pour étudier les différences de représentation et de traitement entre femmes et hommes dans les médias. 👫

    , , i još njih 7
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  4. proslijedio/la je Tweet
    30. sij

    introducing , our research source separation engine developed by our Parisian R&D team 🇫🇷 – mjesto: Deezer

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  5. 27. sij

    You're in the Paris area and interested in Musical Signal Processing ? We're hosting the first local meetup next Thursday with talks from , and from .

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  6. proslijedio/la je Tweet
    24. sij

    We're launching with the 1st meetup group dedicated to musical & audio signal processing in Paris ! Our 1st session is on next week at HQ :

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  7. proslijedio/la je Tweet
    7. sij

    Do you want to work on the Flow? I am hiring a machine learning specialist to train state-of-the-art models to recommend music and create the perfect listening experience.

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  8. 19. pro 2019.
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  9. proslijedio/la je Tweet
    12. pro 2019.

    Interested in simplifying Graph AE/VAE? Come check our poster "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" this Friday at the Graph Rep. Learning workshop! Paper: Code:

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  10. proslijedio/la je Tweet
    2. pro 2019.

    Interested in Machine Learning, Graphs, and Music Recommendation? I am looking for a Research Intern, to work in our R&D and Recommendation teams at on "Artist Graph Representations for Recommendation" :

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  11. 1. pro 2019.
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  12. 27. stu 2019.

    We are opening a new research scientist position: come work with us if you are interested in Music, Humans and their complex interactions !

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  13. 14. stu 2019.

    Since we received a lot of feedbacks on we've opened a glitter chan : . Join us there for the discussion!

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  14. proslijedio/la je Tweet
    12. stu 2019.

    I'm starting a professorship in the CS department at UNC in fall 2020 (!!) and am hiring students! If you're interested in doing a PhD please get in touch. More info here:

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  15. proslijedio/la je Tweet
    8. stu 2019.

    Now at : "Leveraging knowledge bases and parallel annotations for music genre translation", by Epure et al. PDF:

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  16. proslijedio/la je Tweet
    5. stu 2019.

    Tonight, , Romain Hennequin , Casper Karreman and witnessed great presentations by local 11-, 12-, 15- and 16-year olds on their dream music services of the future. Visit the public expo at OPEN until Tuesday! – mjesto: OPEN Delft

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  17. 5. stu 2019.

    All week long, our team is at to talk about translations between music genre taxonomies and demonstrate . Hop by the booth to chat!

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  18. proslijedio/la je Tweet

    Spleeter is an amazing open-source project from Deezer (the French Spotify) that uses Deep Learning to do source separation on musical tracks. Built with Keras and TensorFlow. It runs out-of-the-box on CPU! Blog post: Code:

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  19. proslijedio/la je Tweet
    5. stu 2019.

    5 groups of school children presenting their ideas for the music service of the future! Happy to have my colleagues from and with me as judges! Thanks for producing & for supporting! – mjesto: OPEN Delft

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  20. 4. stu 2019.
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  21. proslijedio/la je Tweet
    2. stu 2019.

    Extract voice, piano, drums, etc. from any music track using Machine Learning

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