This is the Windows app named Asteroid whose latest release can be downloaded as UpgradetoTorch2.xandLightning2.xsourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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Asteroid
DESCRIPTION
The PyTorch-based audio source separation toolkit for researchers. Pytorch-based audio source separation toolkit that enables fast experimentation on common datasets. It comes with a source code thats supports a large range of datasets and architectures, and a set of recipes to reproduce some important papers. Building blocks are thought and designed to be seamlessly plugged together. Filterbanks, encoders, maskers, decoders and losses are all common building blocks that can be combined in a flexible way to create new systems. Extending the toolkit with new features is simple. Add a new filterbank, separator architecture, dataset or even recipe very easily. Recipes provide an easy way to reproduce results with data preparation, system design, training and evaluation in a single script. This is an essential tool for the community! The default logger is TensorBoard in all the recipes. From the recipe folder, you can run the following to visualize the logs of all your runs.
Features
- Audio source separation toolkit
- Fast experimentation on common datasets
- Modularity
- Extensibility and reproducibility
- Reproduce results with data preparation
- Add a new filterbank, separator architecture, dataset or even recipe
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/asteroid.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
