MethodStrong signal
Ensemble scoring
Combining several independent detectors into one probability with a confidence level.
No single feature separates generated from human music. An ensemble runs several independent analyses over the same audio and combines their outputs with configured weights, so that a strong reading from one model cannot on its own produce a confident verdict.
Crucially, the ensemble tracks disagreement. When components diverge, the confidence level falls and the outcome can be reported as inconclusive. That is a feature: the alternative is a system that always sounds sure.
How this tool uses it
Weighted combination over the configured components, with per-component weights held in a configuration file rather than hard-coded in the analysis path.
What else produces the same reading
- Correlated components can look like agreement while sharing the same blind spot.
- Weights are judgement calls until a published benchmark constrains them.