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Pitch-class Steering for Diffusion-based Music Generation via Latent-space Probes
Recent work on controllable music generation has focused on autoregressive models, leaving diffusion-based systems comparatively underexplored. We present a lightweight method for steering the pitch content of audio produced by Stable Audio Open, a latent diffusion model for music synthesis. A small convolutional probe containing approximately 125k parameters is trained to decode frame-level pitch-class activations from the model's variational autoencoder latent space, using paired audio and MIDI data. At inference time, the frozen probe serves as a differentiable loss function: its gradient w
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- arXiv · AI, language, vision and robotics · 2026-09-03T22:07:18.000Z
First collected: 2026-09-21T04:31:57.454Z. This is not the publication date.