What is Asteroid?
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Asteroid is a PyTorch-based audio source separation toolkit.
The main goals of Asteroid are:
- Gather a wider **community** around audio source separation by lowering the barriers to entry.
- **Promote reproducibility** by replicating important research papers.
- Automatize most engineering and **make way for research**.
- Simplify **model sharing** to reduce compute costs and carbon footprint.
So, how do we do that? We aim to provide
- PyTorch ``Dataset`` for **common datasets**.
- Ready-to-use state-of-the art source separation architectures in **native PyTorch**.
- **Configurable recipes** from data preparation to evaluation.
- **Pretrained models** for a wide variety of tasks and architectures.
Who is it for?
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Asteroid has several target usage:
- Use asteroid in your own code, as a package.
- Use available recipes to build your own separation model.
- Use pretrained models to process your files.
- Hit the ground running with your research ideas!
Want to know more?
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- `Visit our webpage `__
- `Read our paper `__
- `Watch the presentation video `__
- `Check how we won the PyTorch Hackathon 2020 ! `__