Generative Audio Synthesis with a Parametric Model

This work addresses the need for more controllable audio generation for applications in music production or sound design, but appears incremental as it builds on existing parametric methods.

The paper tackles the problem of flexible control in audio synthesis by using a parametric representation to train a generative model, resulting in improved control over generated sound.