Example Concept: Diffusion models start with a noisy audio signal and apply a series of transformations to gradually reduce the noise, revealing a structured sound. This process involves learning the probability distribution of the target audio and sampling from it to generate new, realistic audio content. These models are particularly useful for creating ambient sounds and experimental audio effects.