Tag: machine-learning
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VLOG 4: Nearing True Machine-Musician Interaction? Exploring Rhythm through Fractal Proportions
We are nearing our objective of enabling our computer to interact with a live musician in a manner that closely resembles the interaction with another musician. In this fourth vlog, we explore the user interface developed by Samuel Peirce-Davies, which employs the ml.markov object to learn music from MIDI files. Our aim is to extend…
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Pattern Play
This post introduces the third vlog “Pattern Play,” about our latest dive into machine learning in the “Mycelium and Sound Collectives” project. Here, we explore how the ml.markov object’s ‘order’ command enhances the model’s memory, unlocking intricate musical patterns
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Unveiling Musical Aesthetics
This post introduces the second vlog of ‘Mycelium and Sound Collectives,’ where we are discussing the details of feature engineering, ie the parameter analysis needed for machine learning
Building Sound Collectives 