This is the most recent framework that builds on previously proven techniques of Latent Jamming solidified into abstractions for easy set up. It’s also the first framework to use more than two models in parallel.
In Reykjavík Sunburn, four different neural audio models are used: each two RAVE and vschaos2 models.
- Black Latents: a RAVE V2 model trained on the Black Plastics series – 28 tracks/ 3h of drum- and percussion-heavy electronic music. The resulting model generates mainly percussive output with rough textures and a generally high grittiness. In the composition, this model is used as a leading asset to generate the rhythmic baseline and general percussive structure.
- Nobsparse: a RAVE V2 model trained on a hybrid dataset of Tech House and sonically sparse Drum & Bass (about 4h of audio material). The model’s characteristics are relatively clear, sterile, and lightweight sounds, harmonic textures, and an isolated but dominant low end. Depending on the process development during the recording session, this model serves as a secondary texture generator but can also replace Black Latent’s role in the composition.
- VSC2_Nobsparse: this vschaos2 model has been trained on the same dataset as the Nobsparse RAVE model. In the composition, this model is used to generate interchanging pads and drone-like noise textures for transitions or simply to enrich an ongoing section of the recording with a harmonic layer.
- VSC2_Martha2023: being the only model trained on voice data, courtesy of my daughter, this model adds a layer of rhythmical, pseudo-vocal sound on top of the otherwise „instrumental“ generations of the three other models.
Together, these four models are responsible for 100% of the audio information created. No additional synthesizing techniques or sound sources have been used.
Output examples
Reykjavík Sunburn (Take 1 Redux) received recognition at the AI Song Contest 2025 where it was selected to the finalist shortlist of 10 out of >150 submissions.
A release with multiple recorded versions from the framework is currently in the making.