Spleeter

In this article, I am going to share with you the 10 best Spleeter alternatives in 2024 that you can use. Before we get to our list, let us take a quick look at Spleeter review. We will also review the features, price, benefits, pros, and cons of Spleeter. If you like our list of Spleeter and similar software alternatives in 2024, then please rate us below.

Spleeter description and review

Spleeter is Deezer’s audio source separation library with pre-trained models written in Python and uses Tensorflow. The instrument can divide a music track into separate components (vocals, drums, bass, and other specific sounds). After splitting into multiple audio tracks, each track can be used for its own purposes (removing vocals, cutting guitar rhythm, and more). The resulting audio tracks can be imported into any audio editor, such as Audacity. It makes it easy to train the source separation model (assuming you have an isolated source data set) and provides a state-of-the-art model already trained to perform various types of separation:…

Voice Separation (Singing Voice) / Accompaniment (2 tracks) Voice / Drum / Bass / Other Separation (4 tracks) Voice / Drum / Bass / Piano / Other Separation (5 tracks)

The 2-stem and 4-stem models have leading edge performance on the musdb dataset. Spleeter is also very fast, as it can perform 4-stem audio file separation 100 times faster than real-time when running on a GPU.

We designed Spleeter so that you can use it directly from the command line, as well as directly in your own dev pipeline as a Python library. It can be installed with Conda, with pip or used with Docker.

Do you want to try it ? Just clone the repository and install a Conda environment to start separating the audio file as follows:

git clone https://github.com/Deezer/spleeter conda env create -f spleeter / conda / spleeter-cpu.yamlconda activate separate spleeter-cpuspleeter -i spleeter / audio_example.mp3 -p spleeter: 2stems -o output

You should get two separate audio files (vozs.wav and accompaniment.wav) in the output / audio_example folder.

For more detailed documentation, see the repository wiki.

There is also an unofficial website that allows you to use Spleeter online: https://melody.ml

Spleeter is an audio source separation library written in Python (uses Tensorflow). An easy-to-train source separation model that provides a state-of-the-art model already trained to perform various types of separation

Separation model (assuming you have an isolated source data set) and provides a state-of-the-art model already trained to perform various types of separation:

Voice Separation (Singing Voice) / Accompaniment (2 tracks) Voice / Drum / Bass / Other Separation (4 tracks) Voice / Drum / Bass / Piano / Other Separation (5 tracks)

The 2-stem and 4-stem models have leading edge performance on the musdb dataset. Spleeter is also very fast, as it can perform 4-stem audio file separation 100 times faster than real-time when running on a GPU.

We designed Spleeter so that you can use it directly from the command line, as well as directly in your own dev pipeline as a Python library. It can be installed with Conda, with pip or used with Docker.

Do you want to try it ? Just clone the repository and install a Conda environment to start separating the audio file as follows:

git clone https://github.com/Deezer/spleeter conda env create -f spleeter / conda / spleeter-cpu.yamlconda activate separate spleeter-cpuspleeter -i spleeter / audio_example.mp3 -p spleeter: 2stems -o output

You should get two separate audio files (vozs.wav and accompaniment.wav) in the output / audio_example folder.

For more detailed documentation, see the repository wiki.

There is also an unofficial website that allows you to use Spleeter online: https://melody.ml

Official links of Spleeter sites

Official website GitHub

Best list of Spleeter alternatives in 2024

VocalZap

Vocalzap is a free app that can effortlessly remove vocals from any song. If you want to sing, click the “Lyrics” button. Toggle between the original …

PhonicMind

Artificial intelligence meets music! Do karaoke / instrumental and accapella with any song! PhonicMind allows you to quickly and easily remove voices from music directly in …

Vocal remover

Remove voices from music quickly and easily on iPhone.

Vocal remover

Remove Vocal from a song leaving only the background music. Very useful for creating backing tracks or karaoke. VocalRemover provides an easy, intuitive and fast way to …

Unmix

Unmix offers a free service for wanting to remove vocals and more from music using robust new machine learning algorithms. Originally built as a tool to help those in …

Lalal.ai

LALAL.AI presents a new and improved way to extract voices and instruments from musical tracks. The new online service uses a machine learning algorithm to precisely …

VocalRemover.org

Vocal Eliminator and Isolation. Separate the voice from the music of a song for free with powerful AI algorithms.

Izotope RX 7

The industry standard for audio repair. Rebalance music tracks, isolate vocals, correct intonation of dialogue, and more with RX 7.

Want to see more alternatives for Spleeter?

Voice Eliminator Pro

Vocal Remover Pro is a software used to remove voices from music, Vocal Remover Pro is capable of removing and eliminating songs from MP3 files, generating a…

Spleeter: pros and cons

Spleeter: Price

The software of Spleeter gives you easy and efficient management, and Spleeter allows you to concentrate on the most important things. And it’s easy to use; you may love it.

Benefits

FAQ