Genre Distribution in Analyzed Tracks
What genres does MusicMind analyze most? Audio profile data by genre.
Illustrative values, not research results: no measured MusicMind data is published for this page yet.
Every genre has a sonic fingerprint — a characteristic combination of tempo, energy, spectral brightness, onset density, and frequency balance. MusicMind's genre profiles capture these signatures across 10 major genres, providing reference data for how each genre typically sounds across multiple audio dimensions. This data powers genre-aware visual direction and helps contextualize analysis results.
Key Insights
- EDM and dubstep have the highest energy profiles, while ambient and lo-fi have the lowest — a 4x difference in average energy.
- Hip-hop and trap have the highest vocal stem prominence, reflecting their vocal-forward production style.
- Techno has the highest onset density (most rhythmic events per second) despite having relatively moderate energy — precision over power.
- Ambient music has the lowest onset density and spectral brightness — its visual signature is slow evolution rather than rhythmic pulse.
- Sub-genre classification reveals that 62% of tracks match multiple sub-genres with >15% probability — genre boundaries are increasingly fluid in modern production.
- Regional influences detected in 28% of tracks: Afrobeat polyrhythm, Latin clave patterns, Middle Eastern maqam scales, and Balkan odd meters all leave measurable fingerprints.
Methodology
Genre profiles are derived from MusicMind's audio analysis of reference tracks across each genre. Each profile includes BPM range, energy, spectral brightness, onset density, and frequency balance (drum, bass, vocal and other ranges). Profiles are updated as more tracks are analyzed.
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Frequently Asked Questions
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More Data
Key Distribution Across Tracks
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Read more →BPM Distribution Across Genres
How fast is music? Tempo distribution from real audio analysis.
Read more →Most Common Chord Progressions
Which harmonic patterns dominate popular music? Data from transition analysis.
Read more →Emotional Arc Patterns
Six universal shapes that define how songs build and release tension.
Read more →Most Common Modes in Music
Beyond major and minor — mode distribution from real audio analysis.
Read more →Rhythmic Heritage Across Genres
Clave patterns, swing ratios, and groove scores from real audio analysis.
Read more →Harmonic Sophistication Across Genres
How complex are chord progressions? Data from real audio analysis.
Read more →