AudioAI

Faster, Cleaner Vocal Isolation with Latent Diffusion

Kari Jaaskelainen

26 Nov 2025 — 1 min read

AI that pulls the vocals out—fast

Ever wished you could solo a singer from any track without artifacts? This research shows how, using a latent diffusion model that separates vocals from full mixes.

Efficient: Generates in a compact audio latent space, then decodes to sound—speeding up training and inference.
Practical data: Trained only on pairs of mixtures and isolated vocals (no need for every instrument stem).
Quality: Outperforms prior generative approaches and matches strong non‑generative systems on signal quality and interference removal in benchmarks.
Robustness: Includes a noise‑robustness study of the latent encoder.
Open tools: A modular toolkit is released for further research and creative workflows.

Paper by Genís Plaja‑Roglans, Yun‑Ning Hung, Xavier Serra, and Igor Pereira. Read more: https://arxiv.org/abs/2511.20470v1

Paper: https://arxiv.org/abs/2511.20470v1

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