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Found 3 papers, 2 papers with code
Notochord: a Flexible Probabilistic Model for Real-Time MIDI Performance
Deep learning-based probabilistic models of musical data are producing increasingly realistic results and promise to enter creative workflows of many kinds.
A Context-Sensitive Approach to XAI in Music Performance
The rapidly evolving field of Explainable Artificial Intelligence (XAI) has generated significant interest in developing methods to make AI systems more transparent and understandable.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
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Exploring XAI for the Arts: Explaining Latent Space in Generative Music
We increase the explainability of the model by: i) using latent space regularisation to force some specific dimensions of the latent space to map to meaningful musical attributes, ii) providing a user interface feedback loop to allow people to adjust dimensions of the latent space and observe the results of these changes in real-time, iii) providing a visualisation of the musical attributes in the latent space to help people understand and predict the effect of changes to latent space dimensions.
