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Update README.md

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Romain Hennequin
2019-10-28 14:27:20 +01:00
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@@ -13,14 +13,10 @@ already trained state of the art model for performing various flavour of separat
* Vocals / drums / bass / other separation ([4 stems](https://github.com/deezer/spleeter/wiki/2.-Getting-started#using-4stems-model))
* Vocals / drums / bass / piano / other separation ([5 stems](https://github.com/deezer/spleeter/wiki/2.-Getting-started#using-5stems-model))
2 stems and 4 stems models have state of the art performances on the
[musdb](https://sigsep.github.io/datasets/musdb.html) dataset. It is also very fast as
it can perform separation of audio files to 4 stems 100x faster than real-time when run on a *GPU*.
We designed it so you can use it straight from [command line](https://github.com/deezer/spleeter/wiki/2.-Getting-started#usage)
as well as directly in your own development pipeline as a
[Python library](https://github.com/deezer/spleeter/wiki/4.-API-Reference#separator)
2 stems and 4 stems models have state of the art performances on the [musdb](https://sigsep.github.io/datasets/musdb.html) dataset. **Spleeter** is also very fast as it can perform separation of audio files to 4 stems 100x faster than real-time when run on a GPU.
**Spleeter** can be installed with [Conda](https://github.com/deezer/spleeter/wiki/1.-Installation#using-conda),
We designed **Spleeter** so you can use it straight from [command line](https://github.com/deezer/spleeter/wiki/2.-Getting-started#usage)
as well as directly in your own development pipeline as a [Python library](https://github.com/deezer/spleeter/wiki/4.-API-Reference#separator). It can be installed with [Conda](https://github.com/deezer/spleeter/wiki/1.-Installation#using-conda),
with [pip](https://github.com/deezer/spleeter/wiki/1.-Installation#using-pip) or be used with
[Docker](https://github.com/deezer/spleeter/wiki/2.-Getting-started#using-docker-image).