Apple's AI-driven Stem Splitter audio separation tech has improved
a year ago
- #Logic-Pro
- #audio-editing
- #machine-learning
- Rebalancing or transforming mixed audio tracks (e.g., adjusting vocals, converting genres) was traditionally difficult without original project files.
- Early tools used crude techniques like high- and low-pass filtering, but results were often unsatisfactory.
- Machine learning has significantly improved the ability to isolate and extract specific audio components from dense mixes.
- Apple's Logic Pro 11 update introduced Stem Splitter, an AI-powered feature that separates mixed audio into four distinct parts: Drums, Bass, Vocals, and Other instruments.
- Stem Splitter works best when keeping all stems together for rebalancing or adding effects, but isolating single stems can produce audio artifacts.