Top 4 neural networks for creating music

How neural networks generate music

Neural networks for generating music work in the same way as any other machine learning models. To obtain diverse results, it is important for the neural network to ‘listen’ to as many tracks as possible. For example, if you ‘feed’ the model all of The Beatles’ albums, the generated tracks will resemble the style of the British rock band.

Note generation

The easiest way to create a song is to generate notes and then play them on virtual musical instruments. This method requires fewer computing resources and creates music faster. But there are also disadvantages, for example, you cannot generate a voice or invent a new sound.

Sound generation

When generating sounds, the neural network creates an audio signal directly, bypassing the musical notation. In this case, the machine learning model has no restrictions on sound: you can create vocals, ambient sounds, and effects. However, neural networks require more computing resources and are practically impossible to run on a home computer.

Neural networks for creating music

In this section, we will look at popular music generation services — from simple tools to professional platforms with advanced editing capabilities. They differ in features, cost, and available genres. Therefore, compare and choose the option that suits you best.

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Suno AI

One of the most popular neural networks for creating music, which has gone viral on social media. With its help, you can set your own poems to music, rework a popular composition, or create an instrumental. In addition, Suno AI has a special mode for generating music from audio. For example, you can tap out a beat and turn it into a full-fledged drum solo, or hum a melody and perform it with the help of a neural network symphony orchestra.

The Suno AI website has a chart of generated tracks and a selection of unusual genres that cannot be found on a regular streaming platform — for example, mathematical rock and electro-chanson.

Image to Music

An unusual neural network that helps generate a track from an image. To do this, you need to upload an image to the website and, if desired, provide a short description with requirements for the composition. The system will then analyse the image, describe it, and create an instrumental track based on this data.

The neural network is completely free and runs in test mode on the Hugging Face platform. However, errors sometimes occur on this platform, probably due to the high load on the servers. The model code is open, so you can deploy it on your server or run it locally.

Soundraw

The developers position Soundraw as an AI service for professionals. Rapper Trippie Redd even used it to create his tracks. Soundraw does not offer a trial period, and the minimum price is $17, which is quite expensive.

The service provides tools for editing the generated track, allowing you to remove unnecessary musical instruments, add new ones, and divide the composition into logical parts. You can record vocals over the melody.

There is a more expensive plan that allows you to publish generated music on streaming platforms. It is important to note that you do not lose the rights to the tracks you create if you cancel your subscription. There is an API for developers.