Catchy melodies made with a diffusion-based neural net assistant
I've created a diffusion-based neural net generative assistant that makes creating new melodies much easier, even for non-musicians like me. These are meant to be just the catchy "hook" parts of songs, so more work is required to make them into full songs, but this is already handled well by existing products (e.g. there are plugins that can suggest a few possible chord progressions based on the melody and there is even good singing software that I used without any tweaks to make the “voice” playlist: Synthesizer V Studio). This side project turned out to be quite challenging because of how…
Catchy melodies made with a diffusion-based neural net assistant launched on May 11, 2022 with 38 votes, #820 of 2,942 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 4 years on.
In plain words
This tool uses a diffusion-based neural network to generate catchy melodic hooks for songwriting, making melody creation accessible to non-musicians. The assistant produces short, hook-focused melodies that users can develop into full songs using existing tools for chord progression and vocal synthesis. The creator trained the model on limited melodic data, employing advanced generalization and augmentation techniques to overcome data scarcity challenges typical of specialized music AI applications.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
I've created a diffusion-based neural net generative assistant that makes creating new melodies much easier, even for non-musicians like me. These are meant to be just the catchy "hook" parts of songs, so more work is required to make them into full songs, but this is already handled well by existing products (e.g.…
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