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Achievement: StarstruckAchievement: Pull Sharkx3Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Quickdraw

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HuwCheston/README.md

Hello! 👋

I’m Huw, and I'm a data scientist based near London with broad interests across audio and music information retrieval and understanding.

I currently work as a research assistant & engineer at the School of Electronic and Engineering and Computer Science, Queen Mary University of London. Projects I currently work on include Iran Roman’s work into multimodal artificial intelligence (collaboration with Meta) and the EPSRC-funded "AI Skills Through Music" project.

Previously, I completed my PhD in Music Computing at the Centre for Music and Science, University of Cambridge, supervised by Peter Harrison. During this time, I undertook research internships in Spotify’s Audio Intelligence lab and published articles in Royal Society Open Science, Transactions of the International Society for Music Information Retrieval, Music Perception.

I'm also a musician (mostly 🎸) and sound recordist.

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  1. Jazz-Trio-Database Jazz-Trio-Database Public

    The Jazz Trio Database is a dataset composed of about 45 hours of jazz performances annotated by an automated signal processing pipeline.

    Jupyter Notebook 15

  2. AudibleLight/AudibleLight AudibleLight/AudibleLight Public

    A controllable, end-to-end API for soundscape synthesis across ray-traced & real-world measured acoustics

    Jupyter Notebook 26 5

  3. musicinformationretrieval/musicinformationretrieval.com musicinformationretrieval/musicinformationretrieval.com Public

    Instructional notebooks on music information retrieval.

    Jupyter Notebook 1.3k 414

  4. hwc_phd_thesis hwc_phd_thesis Public

    PhD thesis in Music Computing, submitted to University of Cambridge in 2025

    TeX