features
Source-Aware Bass Punch Mastering for AI Music
Source-Aware Bass Punch is BASS MASTERING’s full-mix mastering approach for AI-generated music: it does not split stems, but it behaves as if it understands kick, bass sustain, mud, punch and edge. The result is bass-heavy, punch-forward and dynamic-feeling mastering without forcing users through a slow separation workflow.
Key takeaways
- Full-mix processing; no stem export or upload.
- Kick, bass, punch and mud lanes are treated differently.
- Designed for AI-generated tracks that need more physical beat impact.
Why source-aware instead of stem separation?
Stem separation can be slow and artifact-prone for AI-generated music. BASS MASTERING keeps the upload-to-preview workflow immediate by using source-aware DSP lanes inside the full mix.
What the engine listens for
The engine looks for sustained bass, kick transient behavior, low-mid masking, synthetic edge and dynamic flatness. These signals determine how much bass density, kick focus, mud ducking and drive are applied.
How it should feel
The target is simple: the bass feels larger, the kick hits harder, the beat has more physical punch, and the master still exports with safety peak control.
FAQ
Does Source-Aware Bass Punch use stem separation?
No. It uses full-mix DSP lanes and transient-aware processing rather than exporting separated stems.
Is this subtle mastering?
No. This mode is intentionally audible and designed to make AI-generated music hit harder.
Master AI-generated music with fifteen automatic outputs
Run a local-first analysis, receive five Impact, five Middle and five Refined finished outputs, compare raw-original A/B and export the selected release-ready master with BASS MASTERING.
Open BASS MASTERING app