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torchsynth documentation

The fastest synth in the universe.

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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:

Reproducibility

Contributing

INDICES AND TABLES


© Copyright Copyright (c) 2020-2021, Jordie Shier, Joseph Turian, Max Henry.. Revision 2e042230.

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