Music generation with a neural network: the complete guide

To get your own song, you used to need an instrument, a studio and years of practice — or at least the skill to mix a backing track in software. Today it's enough to describe in words the music you want, add some lyrics — and a minute later you have a finished track with vocals, in the genre you wanted, that never existed before. This is music generation with a neural network.

This guide is a connected conversation, not a list of services. From how a machine composes music from text at all to concrete tasks: generate a track, write a song and its lyrics, make a beat or backing track, pick a genre and style, and not break copyright.

Describe a track right here, in the Twelver chat — and hear what comes out. Your first generations are free after signing up.

What's already real

Today neural networks reliably make: songs with vocals in English and other languages, instrumentals and beats in any genre, background music for video and podcasts, cover versions and re-voicing. People build social content, music for clips, demos for musicians and just personal "gift" songs on top of this.

One thing ties all these tasks together: the result depends not on the service but on how precisely you can describe the style, mood and structure. So whichever chapter you finish on, the key ones are about lyrics and genres: that's where music stops being random.

Contents

1. 1.AI music generator: your first track in a minute
2. 2.A neural network writes a song: lyrics and vocals
3. 3.Beat and backing track: instrumentals with a neural network
4. 4.Suno: how to use it
5. 5.Udio, Mubert and Suno alternatives
6. 6.Music genres with a neural network: how to set the style precisely
7. 7.Copyright on AI music: can you publish it