Intro. Verse. Chorus. Drop. MusicMind maps it all.
Energy-based segmentation detects every section. Cadence detection at phrase boundaries. Pattern matching classifies the overall form against Covach (2005) templates.
Analyze a track — free →What you get
Section timeline
Every section with start/end timestamps and confidence
Form classification
Verse-chorus, drop-based, AABA, through-composed, and more
Cadence detection
Authentic (V-I), plagal (IV-I), deceptive (V-vi), and half cadences detected at section boundaries — revealing the harmonic punctuation that defines phrase structure
Energy map
Visual energy curve showing intensity across the full track
Section breakdown
Count and duration of each section type (e.g., 3 choruses, avg 24s)
Common musical forms
From Covach (2005) analysis of popular music structure. MusicMind matches detected sections against these templates.
Verse-Chorus
45% prevalenceVerse-Pre-Chorus
25% prevalenceDrop-Based
15% prevalenceAABA
5% prevalenceThrough-Composed
3% prevalenceLoop-Based
7% prevalenceHow it works
MusicMind computes a self-similarity matrix from spectral features across time. Sharp changes in self-similarity indicate section boundaries. The detected boundaries are then refined using energy contour analysis — sections typically have consistent energy levels with transitions at boundaries.
Once sections are detected, the sequence is matched against known form templates from the Covach (2005) corpus using edit distance. The best-matching template determines the form classification.
Concrete Flow
Zeltor Kemp • Hip-hop
Demo data, not research results. Try your own track.
Analyze free →A report also shows (demo data)
Key detected
A minor
Chord changes
74 chords
Tempo
95 BPM
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