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DDSP: Differentiable Digital Signal Processing

ICLR 2020, (paper)

Gin configs for reproducing the results of the paper.

Each config file specifies both the dataset and the model, so only a single --gin_file flag is required.

Configs

  • nsynth_ae.gin: Autoencoder (with latent z, and f0 given by CREPE) on NSynth dataset.
  • nsynth_ae_abs.gin: Deprecated. Please install v0.0.6 to use this config. Autoencoder (with latent z, and f0 inferred by model) on NSynth dataset. For improved version, see icml2020 paper.
  • solo_instrument.gin: Decoder (with no z, and f0 given by CREPE) on your own dataset of a monophonic instrument. Make dataset with ddsp/training/data_preparation/ddsp_prepare_tfrecord.py.
  • tiny_instrument.gin: Same as solo_instrument.gin, but with much smaller model.