Genre Profile
Chicago House music is characterized by high energy that drives the music forward with force and momentum, with a median energy of 73.9%. The genre carries predominantly electronic production (0.8% acousticness), built on synthesized sounds and digital textures. Instrumentalness sits at 45.3%, while danceability registers at 77.0% — making it highly danceable. The emotional tone is generally upbeat and positive in tone, with valence at 56.5%. Speechiness is minimal at 5.4%.
The typical chicago house track moves at a moderate tempo that sits comfortably in walking-pace territory of 124.0 BPM (±4.4). Tonally, A#/Bb is the most common key (17 of 100 tracks), and 53% of tracks are in a major key — showing a fairly even split between light and dark tonalities.
The genre's sonic identity is shaped by artists like Aaron Smith, Mark Farina, Luvli alongside Paul Johnson, Mr. Fingers. The typical track runs about 5.6 minutes, giving enough room for ideas to develop fully.
Production-wise, chicago house sits at a median loudness of -8.2 dB — moderately loud, balancing dynamics with presence. Whether you're producing in the genre or analyzing it for AI music generation, these numbers provide a precise target for capturing the authentic chicago house sound.
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BPM 119-125: joyful pace Energy 61-81%: joyful, soulful Valence 45-65%: joyful, soulful, euphoric, liberating Danceability 71-81%: Chicago house groove Acousticness -6-13%: TR-909 kick textures Instrumentalness 35-55%: Focus on TR-909 kick Speechiness 6-16%: Clean Chicago house passages Tempo: joyful to moderate Key preference: A#/Bb, C#/Db, warm keys
Create a Chicago house track with: • TR-909 kick foundation (123 BPM) • acid house-inspired TB-303 acid line • joyful TR-909 kick patterns • gospel vocal samples piano stabs • soulful production style • deep house sound design • Moderate energy (71%), joyful mood (55%) • Chicago house arrangement (45%), TR-909 kick elements (3%) Artists to reference: Aaron Smith, Mark Farina, Luvli, Paul Johnson, Mr. Fingers, Larry Heard Duration: 3-4 minutes, perfect for liberating listening
{
"genre": "chicago house",
"audio_features": {
"bpm": {"min": 93, "max": 190, "median": 123},
"energy": {"avg": 0.712, "range": "joyful"},
"valence": {"avg": 0.553, "range": "joyful, soulful, euphoric, liberating"},
"danceability": {"avg": 0.764, "range": "Chicago house groove"},
"acousticness": {"avg": 0.038, "range": "TR-909 kick/organic"},
"instrumentalness": {"avg": 0.450, "range": "focus on TR-909 kick"},
"key_preference": ["A#/Bb", "C#/Db", "B"],
"mode_preference": {"major": 53.0, "minor": 47.0}
},
"production_style": {
"instruments": ["TR-909 kick", "TB-303 acid line", "gospel vocal samples", "piano stabs", "claps"],
"style_tags": ["Chicago house", "acid house", "deep house", "jack tracks", "warehouse"],
"mood_descriptors": ["joyful", "soulful", "euphoric", "liberating"],
"tempo_category": "joyful_to_moderate"
},
"reference_artists": ["Aaron Smith", "Mark Farina", "Luvli", "Paul Johnson", "Mr. Fingers", "Larry Heard", "Felix Da Housecat", "Chez Damier"],
"track_characteristics": {
"typical_length": "3-4 minutes",
"listening_context": " liberating listening",
"production_focus": "TR-909 kick foundation"
}
}}
Audio DNA
Key finding: Six audio features define chicago house's fingerprint: Danceability leads at 77.0%, while Acousticness sits at just 0.8% — a genre defined as much by what it lacks as what it contains.
Rhythm & Tonality
Key finding: 53% of chicago house tracks are in a major key, with A#/Bb the most common. Typical BPM: 124.0 (σ 4.4).
Emotional Fingerprint
Top Artists
Key finding: Aaron Smith dominates with 10 tracks in the top 100, followed by Mark Farina (8) and Luvli (7).
What Makes a Hit
Feature Correlations
Production Profile
Top Tracks
Key finding: The most popular chicago house track is “Dancin (feat. Luvli) - Krono Remix” by Aaron Smith with a popularity score of 78.
| # | Track | Artist | Popularity | BPM | Energy | Valence | Key |
|---|
How Chicago House Compares
Frequently Asked Questions
Sources & Methodology
This analysis is based on Spotify Audio Features API data for the top 100 🏠 chicago house tracks by popularity, supplemented by Gemini AI audio analysis of 30-second preview clips.
Audio features (energy, valence, acousticness, instrumentalness, danceability, speechiness, tempo, key, mode, loudness, duration) are sourced directly from Spotify's audio analysis pipeline. Production insights, mood classifications, and instrumentation details are generated by Gemini AI.
Data was collected and analyzed by kapiko — a music analytics platform for AI-era music production.