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.
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 withddsp/training/data_preparation/ddsp_prepare_tfrecord.py
.tiny_instrument.gin
: Same assolo_instrument.gin
, but with much smaller model.