DiffSinger generates singing voice and text-to-speech output by leveraging a shallow diffusion mechanism. The model takes text and musical notation (MIDI) as input and produces audio waveforms of sung vocals. It uses a parameterized noise forecasting network to progressively refine latent representations until natural speech emerges.