From a27aa967d5f2889de3037e9424191ef31d7aa5ff Mon Sep 17 00:00:00 2001 From: Moussallam Date: Mon, 25 May 2020 23:05:40 +0200 Subject: [PATCH] Linking to the separation result page --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c4c774b..97e7abb 100644 --- a/README.md +++ b/README.md @@ -13,7 +13,7 @@ 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. **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. +2 stems and 4 stems models have [high performances](https://github.com/deezer/spleeter/wiki/Separation-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. 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),