This is the Windows app named Spleeter whose latest release can be downloaded as v2.3.0.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Spleeter
DESCRIPTION
Spleeter is the Deezer source separation library with pretrained models written in Python and using Tensorflow. It makes it easy to train music source separation models (assuming you have a dataset of isolated sources), and provides already trained state of the art models for performing various flavours of separation. 2 stems and 4 stems models have state of the art performances on the musdb 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 as well as directly in your own development pipeline as a Python library. It can be installed with Conda, with pip or be used with Docker.
Features
- Makes it easy to train music source separation models
- Vocals (singing voice) / accompaniment separation (2 stems) model
- Vocals / drums / bass / other separation (4 stems) model
- Vocals / drums / bass / piano / other separation (5 stems) model
- 2 stems and 4 stems models have state of the art performances on the musdb dataset
- It can be installed with Conda, with pip or be used with Docker
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/spleeter.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
