torchsynth documentation¶
The fastest synth in the universe.
torchsynth is based upon traditional modular synthesis written in pytorch. It is GPU-optional and differentiable.
Most synthesizers are fast in terms of latency. torchsynth is fast in terms of throughput. It synthesizes audio 16200x faster than realtime (714MHz) on a single GPU. This is of particular interest to audio ML researchers seeking large training corpora.
Additionally, all synthesized audio is returned with the underlying latent parameters used for generating the corresponding audio. This is useful for multi-modal training regimes.
If you’d like to hear torchsynth, check out
synth1K1, a dataset of
1024 4-second sounds rendered from the Voice
synthesizer, or listen to the following SoundCloud embed:
Here is another set of sounds created with the Voice
Drum Nebula. In torchsynth a nebula is a set of hyperparameters that defines how
synthesizer parameters are sampled. The hyperparameters of the Drum Nebula were hand-tuned
to increase the likelihood of the Voice producing percussive
samples.
Getting started
Performance
Modular Design
Reproducibility
Contributing
API
INDICES AND TABLES
