ddsp

DDSP (Differentiable Digital Signal Processing) is a library that provides differentiable implementations of common digital signal processing functions, such as synthesizers and filters, enabling their integration into deep learning models for audio generation. Its primary use case involves generating and manipulating audio from neural network outputs, leveraging modules like harmonic synthesizers for real-time audio synthesis. Notable features include the ability to perform timbre transfer, pitch detection, and the organization of tutorials and demos for practical application and training of custom autoencoder models.