Syntex: parametric audio texture datasets for conditional training of instrumental interfaces.
Lonce L. Wyse, Prashanth Thattai Ravikumar · 2022
An emerging approach to building new musical instruments is based on training neural networks to generate audio conditioned upon parametric input. We use the term "generative models" rather than "musical instruments" for the trained networks because it reflects the statistical way the instruments are trained to "model" the association between parameters and the distribution of audio data, and because "musical" carries historical baggage as a reference to a restricted domain of sound. Generative models are musical instruments in that they produce a prescribed range of sound playable through the expressive manipulation of an interface. To learn the mapping from interface to audio, generative models require large amounts of parametrically labeled audio data.