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Achievements

Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

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@AI-Song-Contest
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hvkoops/README.md

I am currently a Senior Machine Learning & Audio Scientist @ Universal Music Group in the Music & Audio Machine Learning Lab (MAML). MAML is part of UMG Global Technology and specialises in areas of advanced technology revolving around Music, Audio and Machine Learning.

I am a composer/AI researcher with a background in sound design, music composition and artificial intelligence. I defended my Ph.D. dissertation in Music Information Retrieval titled Computational Modelling of Variance in Musical Harmony at the Department of Information and Computing Sciences at Utrecht University) in 2019. My PhD was supervised by dr. Anja Volk and prof. dr. Remco C. Veltkamp.

Previously I was a Senior Data Scientist at RTL Netherlands, working on AI audiovisual projects for television and video on demand, such as automatic trailer generation, thumbnail selection, and music detection.

Links

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  1. vpro-gids-gan-covers vpro-gids-gan-covers Public

    Generating VPRO Gids covers using Generative Adversarial Networks

    2

  2. chordify/CASD chordify/CASD Public

    Chordify Annotator Subjectivity Dataset - A chord-Label harmony dataset with multiple reference annotations per song

    Python 51 5

  3. chordlabelpersonalization chordlabelpersonalization Public

    Chord Label Personalization through Deep Learning of Integrated Harmonic Interval-based Representations

    Python 3

  4. harmonicintervalprofile harmonicintervalprofile Public

    Python library for computing (shared) harmonic interval profiles (HIP and SHIP) from chord labels.

    Python 2