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src=\"https://raw.githubusercontent.com/torchsynth/torchsynth/main/assets/logo-with-caption.jpg\"\u003e\n\n\u003c/div\u003e\n\n## Introduction\n\ntorchsynth is based upon traditional modular synthesis written in\npytorch. It is GPU-optional and differentiable.\n\nMost synthesizers are fast in terms of latency. torchsynth is fast\nin terms of throughput. It synthesizes audio 16200x faster than\nrealtime (714MHz) on a single GPU. This is of particular interest\nto audio ML researchers seeking large training corpora.\n\nAdditionally, all synthesized audio is returned with the underlying\nlatent parameters used for generating the corresponding audio. This\nis useful for multi-modal training regimes.\n\n\u003cdiv align=\"center\"\u003e\n\n[Documentation](https://torchsynth.rtfd.io/en/latest/)\n\n[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/torchsynth/torchsynth/blob/main/examples/examples.ipynb)\n\n[![PyPI](https://img.shields.io/pypi/v/torchsynth)](https://pypi.org/project/torchsynth/)\n![PyPI - Wheel](https://img.shields.io/pypi/wheel/torchsynth)\n![PyPI - License](https://img.shields.io/pypi/l/torchsynth)\n[![codecov.io](https://codecov.io/gh/torchsynth/torchsynth/branch/main/graphs/badge.svg?logoWidth=18)](https://codecov.io/github/torchsynth/torchsynth?branch=master)\n[![Total alerts](https://img.shields.io/lgtm/alerts/g/torchsynth/torchsynth.svg?logo=lgtm\u0026logoWidth=18)](https://lgtm.com/projects/g/torchsynth/torchsynth/alerts/)\n[![Travis CI build status](https://app.travis-ci.com/torchsynth/torchsynth.svg?branch=main)](https://app.travis-ci.com/github/torchsynth/torchsynth)\n[![Documentation Status](https://readthedocs.org/projects/torchsynth/badge/?version=latest)](https://torchsynth.readthedocs.io/en/latest/?badge=latest)\n\n\u003c/div\u003e\n\n## Installation\n\n```\npip3 install torchsynth\n```\n\nNote that torchsynth requires PyTorch version 1.8 or greater.\n\n## Listen\n\nIf you'd like to hear torchsynth, check out\n[synth1K1](https://github.com/torchsynth/synth1K1), a dataset of\n1024 4-second sounds rendered from the\n[Voice](https://torchsynth.readthedocs.io/en/latest/api/synth.html#torchsynth.synth.Voice)\nsynthesizer, or listen [on SoundCloud](https://soundcloud.com/user-357924775/synth1k1).\n\n## Citation\n\nIf you use this work in your research, please cite:\n\n```\n@inproceedings{turian2021torchsynth,\n\ttitle        = {One Billion Audio Sounds from {GPU}-enabled Modular Synthesis},\n\tauthor       = {Joseph Turian and Jordie Shier and George Tzanetakis and Kirk McNally and Max Henry},\n\tyear         = 2021,\n\tmonth        = Sep,\n\tbooktitle    = {Proceedings of the 23rd International Conference on Digital Audio Effects (DAFx2020)},\n\tlocation     = {Vienna, Austria}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftorchsynth%2Ftorchsynth","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftorchsynth%2Ftorchsynth","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftorchsynth%2Ftorchsynth/lists"}