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The MCT Blog

  • Topics
    • Interactive Music
    • Machine Learning
    • Motion Capture
    • Networked Music
    • Sonification
    • Sound Programming
    • Spatial Audio
    • Other
    • All Topics
  • Projects
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  • Clustering high dimensional data

    Clustering high dimensional data

    machine-learning
    Sep 17, 2019 • Karolina Jawad

    In the project for Music and Machine Learning I was using raw audio data to see how well the K-Mean clustering technique would work for structuring and classifying an unlabelled data-set of voice recordings.

  • MIDI drum beat generation

    MIDI drum beat generation

    machine-learning
    Sep 16, 2019 • Elias Andersen

    Most music production today depend strongly on technology, from the beginning of a songs creation, till the the last final tunings during mix and master. Still their is usually many human aspect involved, like singing, humans playing instruments, humans using a music making software etc..

  • Could DSP it?

    Could DSP it?

    networked-music
    Sep 16, 2019 • Jackson Goode

    Is polarity the solution?

  • IR Reverberation Classifier using Machine Learning

    IR Reverberation Classifier using Machine Learning

    machine-learning
    Sep 16, 2019 • Sam Roman

    Using Machine Learning to classify different reverb spaces (using impulse response files)

  • Multi-Layer Perceptron Classifier of Dry/Wet Saxophone Sound

    Multi-Layer Perceptron Classifier of Dry/Wet Saxophone Sound

    machine-learning
    Sep 16, 2019 • Guy Sion

    The application I have decided to work on is of a machine learning model that can ultimately differentiate between a saxophone sound with effect (wet) and without effect (dry).

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The student-led blog of the University of Oslo (UiO) international master's programme in Music, Communication & Technology (MCT)