Genre Profile
Dub music is characterized by high energy that drives the music forward with force and momentum, with a median energy of 72.4%. The genre carries predominantly electronic production (4.3% acousticness), built on synthesized sounds and digital textures. Instrumentalness sits at 0.0%, while danceability registers at 52.6% — providing enough groove to move to. The emotional tone is leaning toward introspection and wistfulness, with valence at 28.9%. Speechiness is minimal at 5.3%.
The typical dub track moves at a uptempo drive of 141.0 BPM (±39.3). Tonally, C#/Db is the most common key (13 of 100 tracks), and 65% of tracks are in a major key — creating an overall sense of brightness and openness.
The genre's sonic identity is shaped by artists like ILLENIUM, SLANDER, Porter Robinson alongside Inhaler, Said The Sky. The typical track runs about 3.8 minutes, optimized for streaming attention spans.
Production-wise, dub sits at a median loudness of -5.5 dB — 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 dub sound.
Prompt Lab
How to Prompt a Hit
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BPM 96-150: spacious pace Energy 61-81%: spacious, hypnotic Valence 26-46%: spacious, hypnotic, deep, meditative Danceability 50-60%: dub groove Acousticness 0-19%: delay effects textures Instrumentalness -7-12%: Focus on delay effects Speechiness 10-20%: Clean dub passages Tempo: spacious to moderate Key preference: C#/Db, D, warm keys
Create a dub track with: • delay effects foundation (140 BPM) • dub reggae-inspired reverb • spacious delay effects patterns • sub-bass drum & bass rhythm • hypnotic production style • roots dub sound design • Moderate energy (71%), spacious mood (36%) • dub arrangement (2%), delay effects elements (9%) Artists to reference: ILLENIUM, SLANDER, Porter Robinson, Inhaler, Said The Sky, Dylan Matthew Duration: 3-4 minutes, perfect for meditative listening
{
"genre": "dub",
"audio_features": {
"bpm": {"min": 71, "max": 199, "median": 140},
"energy": {"avg": 0.710, "range": "spacious"},
"valence": {"avg": 0.369, "range": "spacious, hypnotic, deep, meditative"},
"danceability": {"avg": 0.552, "range": "dub groove"},
"acousticness": {"avg": 0.099, "range": "delay effects/organic"},
"instrumentalness": {"avg": 0.022, "range": "focus on delay effects"},
"key_preference": ["C#/Db", "D", "G"],
"mode_preference": {"major": 65.0, "minor": 35.0}
},
"production_style": {
"instruments": ["delay effects", "reverb", "sub-bass", "drum & bass rhythm", "melodica"],
"style_tags": ["dub", "dub reggae", "roots dub", "digital dub", "dub techno"],
"mood_descriptors": ["spacious", "hypnotic", "deep", "meditative"],
"tempo_category": "spacious_to_moderate"
},
"reference_artists": ["ILLENIUM", "SLANDER", "Porter Robinson", "Inhaler", "Said The Sky", "Dylan Matthew", "Zeds Dead", "Seven Lions"],
"track_characteristics": {
"typical_length": "3-4 minutes",
"listening_context": " meditative listening",
"production_focus": "delay effects foundation"
}
}}
Audio DNA
Key finding: Six audio features define dub's fingerprint: Energy leads at 72.4%, while Instrumentalness sits at just 0.0% — a genre defined as much by what it lacks as what it contains.
Rhythm & Tonality
Key finding: 65% of dub tracks are in a major key, with C#/Db the most common. Typical BPM: 141.0 (σ 39.3).
Emotional Fingerprint
Top Artists
Key finding: ILLENIUM dominates with 23 tracks in the top 100, followed by SLANDER (10) and Porter Robinson (6).
What Makes a Hit
Feature Correlations
Production Profile
Top Tracks
Key finding: The most popular dub track is “Dead To Me - Slow + Reverb” by Whales with a popularity score of 73.
| # | Track | Artist | Popularity | BPM | Energy | Valence | Key |
|---|
Frequently Asked Questions
Sources & Methodology
This analysis is based on Spotify Audio Features API data for the top 100 🔊 dub 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.