From 5d64ece7ead5e2d7beb689d40a01b575f72a49f3 Mon Sep 17 00:00:00 2001 From: Romain Hennequin Date: Mon, 28 Oct 2019 14:27:20 +0100 Subject: [PATCH] Update README.md --- README.md | 10 +++------- 1 file changed, 3 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index b80f83d..5602d98 100644 --- a/README.md +++ b/README.md @@ -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).