https://wearethemusicmakers.co/latest Music tech and AI in music: the news that matters, what we think about it, and a directory of the tools. en-us Thu, 05 Nov 2026 03:30:00 GMT https://wearethemusicmakers.co/opinion/training-free-control-counter-take https://wearethemusicmakers.co/opinion/training-free-control-counter-take A new paper steers an audio diffusion model to a given melody without retraining it. The best case against getting excited is that trained, conditioned models do control better and sound better. Here is that case put fairly, and why we still think control is the feature that matters. Thu, 05 Nov 2026 03:30:00 GMT We are the music makers airesearchaudio-generationdiffusionformat-counter-take https://wearethemusicmakers.co/learn/what-is-a-diffusion-model-in-music https://wearethemusicmakers.co/learn/what-is-a-diffusion-model-in-music A diffusion model is an AI generator that starts from random noise and removes it step by step until sound (or a compressed code for sound) is left. Stable Audio Open is one documented example for music and sound. Mon, 02 Nov 2026 04:30:00 GMT We are the music makers format-referenceaidiffusionaudio-generation https://wearethemusicmakers.co/news/2026/10/melody-guidance-audio-diffusion-without-retraining https://wearethemusicmakers.co/news/2026/10/melody-guidance-audio-diffusion-without-retraining A new arXiv paper from Cristobal Andrade, Sebastian J. Schlecht, Ben Maman and Meinard Müller makes an existing audio diffusion model follow a given melody, using a pitch detector during sampling instead of training a new melody-conditioned model. Sat, 31 Oct 2026 03:30:00 GMT We are the music makers airesearchaudio-generationdiffusionmelody