Benchmark Lab
Harmonic Complexity Benchmark
This benchmark makes harmonic richness inspectable. It combines chord variety, average confidence, sophistication labels, and tonal ambiguity so a reader can see when a song is harmonically plain, stable, or rewardingly complex.
Signal definition
Dimension: Harmony
Focus: Chord variety and sophistication
Benchmark scope: Chord variety, sophistication, and surprise potential
Benchmark readout
The public readout for this benchmark.
This page documents the method; results are not yet published. Once measured, the readout will track the following dimensions so researchers, creators, and operators can inspect the same signal from multiple angles.
Methodology
How this benchmark is assembled.
Step 01
Unique chord counts measure how much variety is present in the detected harmonic field.
Step 02
Average confidence shows how stable those estimates remain as the harmony becomes richer.
Step 03
Sophistication and ambiguity provide readable interpretive context on top of raw counts.
Step 04
The result is a benchmark page suitable for creators, researchers and educators.
Related guides
Interpretation, creator guidance, and release context.
Each guide below uses the same benchmark from a different angle so readers can move from evidence to practical decisions without leaving the research trail behind.
Interpretation
Translate the raw benchmark page into a clear decision frame and know what to inspect first.
Open guideCreator Guide
Turn the benchmark into practical moves for writing, arrangement, production, and mix decisions.
Open guideResearch Brief
Place the benchmark inside the citation chain, the corpus logic, and the broader observatory system.
Open guideRelease Strategy
Use the benchmark as a release and programming lens, not just a descriptive metric.
Open guideNext move
Run this same layer on your own track.
Public benchmarks establish the reference frame. MusicMind applies the same logic to a specific song.