Genre Profile
House music is characterized by high energy that drives the music forward with force and momentum, with a median energy of 74.2%. The genre carries predominantly electronic production (7.5% acousticness), built on synthesized sounds and digital textures. Instrumentalness sits at 0.0%, while danceability registers at 69.2% β making it highly danceable. The emotional tone is emotionally balanced, neither overtly happy nor sad, with valence at 49.5%. Speechiness is virtually absent at 4.7%.
The typical house track moves at a moderate tempo that sits comfortably in walking-pace territory of 123.0 BPM (Β±5.9). Tonally, B is the most common key (13 of 100 tracks), and 56% of tracks are in a minor key β showing a fairly even split between light and dark tonalities.
The genre's sonic identity is shaped by artists like Calvin Harris, Travis Scott, Marshmello alongside TiΓ«sto, MEDUZA. The typical track runs about 3.2 minutes, optimized for streaming attention spans.
Production-wise, house sits at a median loudness of -5.1 dB β loud and compressed, optimized for impact over nuance. Whether you're producing in the genre or analyzing it for AI music generation, these numbers provide a precise target for capturing the authentic house sound.
Prompt Lab
How to Prompt a Hit
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BPM 117-125: uplifting pace Energy 63-83%: uplifting, groovy Valence 40-60%: uplifting, groovy, euphoric, hypnotic Danceability 64-74%: house groove Acousticness 1-21%: four-on-the-floor kick textures Instrumentalness -8-11%: Focus on four-on-the-floor kick Speechiness 6-16%: Clean house passages Tempo: uplifting to moderate Key preference: B, C#/Db, warm keys
Create a house track with: β’ four-on-the-floor kick foundation (123 BPM) β’ deep house-inspired hi-hats β’ uplifting four-on-the-floor kick patterns β’ synth chords bass groove β’ groovy production style β’ tech house sound design β’ Moderate energy (73%), uplifting mood (50%) β’ house arrangement (1%), four-on-the-floor kick elements (11%) Artists to reference: Calvin Harris, Travis Scott, Marshmello, TiΓ«sto, MEDUZA, The Chainsmokers Duration: 3-4 minutes, perfect for hypnotic listening
{
"genre": "house",
"audio_features": {
"bpm": {"min": 76, "max": 179, "median": 123},
"energy": {"avg": 0.738, "range": "uplifting"},
"valence": {"avg": 0.504, "range": "uplifting, groovy, euphoric, hypnotic"},
"danceability": {"avg": 0.691, "range": "house groove"},
"acousticness": {"avg": 0.116, "range": "four-on-the-floor kick/organic"},
"instrumentalness": {"avg": 0.017, "range": "focus on four-on-the-floor kick"},
"key_preference": ["B", "C#/Db", "C"],
"mode_preference": {"major": 44.0, "minor": 56.0}
},
"production_style": {
"instruments": ["four-on-the-floor kick", "hi-hats", "synth chords", "bass groove", "vocal samples"],
"style_tags": ["house", "deep house", "tech house", "progressive house", "vocal house"],
"mood_descriptors": ["uplifting", "groovy", "euphoric", "hypnotic"],
"tempo_category": "uplifting_to_moderate"
},
"reference_artists": ["Calvin Harris", "Travis Scott", "Marshmello", "Ti\u00ebsto", "MEDUZA", "The Chainsmokers", "David Guetta", "Kygo"],
"track_characteristics": {
"typical_length": "3-4 minutes",
"listening_context": " hypnotic listening",
"production_focus": "four-on-the-floor kick foundation"
}
}}
Audio DNA
Key finding: Six audio features define house's fingerprint: Energy leads at 74.2%, while Instrumentalness sits at just 0.0% β a genre defined as much by what it lacks as what it contains.
Rhythm & Tonality
Key finding: 56% of house tracks are in a minor key, with B the most common. Typical BPM: 123.0 (Ο 5.9).
Emotional Fingerprint
Top Artists
Key finding: Calvin Harris dominates with 11 tracks in the top 100, followed by Travis Scott (7) and Marshmello (6).
What Makes a Hit
Feature Correlations
Production Profile
Top Tracks
Key finding: The most popular house track is “Ferrari” by James Hype with a popularity score of 90.
| # | Track | Artist | Popularity | BPM | Energy | Valence | Key |
|---|
How House Compares
Frequently Asked Questions
Sources & Methodology
This analysis is based on Spotify Audio Features API data for the top 100 π 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 β a music analytics platform for AI-era music production.