Culoe De Song — Culoe De Song LIVE @ Ziongate 23-09-23

    Afro House · 2h 04m · analysed 22 Aug 2026 · source: soundcloud.com

    Overall score
    85/100
    Level
    festival ready
    Duration
    2h 04m
    Genre
    Afro House

    Public mix analysis — no affiliation or endorsement. This report measures a publicly available recording hosted on soundcloud.com. The scores are produced by SOONOS and do not imply any partnership with, or approval by, Culoe De Song.

    In short

    Culoe De Song LIVE @ Ziongate 23-09-23 by Culoe De Song scores 85/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (94/100) and the weakest is SURPRISE (82/100).

    The DJ treats the mix as a single, evolving organism rather than a series of tracks.

    Key takeaways

    What weakened the set

    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (5:00, 13:00, 21:00, 25:00, 31:00, 45:00). Long loops kill dancefloor momentum.

    What to try next

    • Experiment with a 'dry' percussive break to contrast the atmospheric layers.
    • Use a rhythmic delay on the vocal chants to create more complex polyrhythms.
    • Consider a brief tempo automation (±0.5 BPM) to subtly drive energy during the peak.
    • Continue to master the art of long, patient blends.

    Timestamped insights

    Each moment below is tagged with how it was produced: “measured” comes from the DSP pass on the audio, “listening” comes from the multi-agent listening pass.

    • 4:12Measured (DSP)94/100Listen at 4:12

      A masterfully executed transition where the new track's shakers and hats emerge naturally from the previous groove.

    • 9:50Measured (DSP)90/100Listen at 9:50

      Clean handover of the bass frequencies exactly on the 32-bar mark. Energy is perfectly maintained.

    • 12:48Measured (DSP)92/100Listen at 12:48

      A textbook Afro-house transition. The incoming track's percussion is introduced so subtly it feels like a natural progression of the first track.

    • 18:12Measured (DSP)89/100Listen at 18:12

      Excellent phrasing. The transition occurs over a long period, allowing the rhythmic elements to braid together before the final swap.

    • 24:15Measured (DSP)88/100Listen at 24:15

      A very smooth transition that maintains the rhythmic pulse perfectly.

    • 29:50Measured (DSP)78/100Listen at 29:50

      A solid transition, though the mid-frequencies get slightly crowded for a few bars.

    About this afro house set

    Culoe De Song LIVE @ Ziongate 23-09-23 is a afro house DJ set by Culoe De Song, running 2h 04m. It was measured by the SOONOS multi-agent engine and scores 85/100 overall — festival ready.

    The engine files this performance as “Promising”.

    The DJ treats the mix as a single, evolving organism rather than a series of tracks.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 94/100; the weakest is SURPRISE at 82/100.

    Analysis coverage for this file is 100% — the share of the set the engine could measure with full confidence.

    Energy and structure

    The energy curve was sampled at 52 points, moving between 20 and 88 on the SOONOS energy scale — a wide dynamic range across the set.

    6 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 445.0 grid breaks per hour, with a median beat offset of 12 ms.

    How this score is built

    Measured layer (DSP): the audio file is analysed directly — beat grid, tempo stability, loudness and energy. These values are measurements, not opinions.

    Listening layer: a multi-agent pass reads musical intent — programming, storytelling, coherence and crowd effect. This layer interprets, it does not measure.

    Fusion and ceilings: the two layers are merged, and the measured layer always wins on execution. When the DSP hears an execution problem, it caps the final score even if the listening layer is positive.

    Measured coverage for this file is 100% of the set.

    Listen to the original set

    Full SOONOS analysis

    0

    The DJ treats the mix as a single, evolving organism rather than a series of tracks.

    The 8 dimensions

    Not available — the 8-dimension profile was not measured for this set.

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%87
    Beat Alignmentmeasured91
    Transition Qualitymeasured81
    Phrase Accuracymeasured91
    EQ & Frequency Control (estimated)measured86
    Tempo Stability (estimated)measured93
    Technical Cleanlinessmeasured78

    STORYTELLING

    Did the mix go somewhere?

    25%89
    Narrative ArcAI92
    ProgressionAI88
    Tension & ReleaseAI85
    Section AwarenessAI90
    Flow ContinuityAI93
    PayoffAI84

    ENERGY

    Did you control the room?

    20%86
    Energy Curvemeasured87
    PacingAI92
    MomentumAI91
    Peak ManagementAI86
    Energy HandoffAI87
    Fatigue ControlAI60

    SURPRISE

    Did you remain unpredictable?

    15%82
    Unexpected MomentsAI82
    ContrastAI82
    Transition Varietymeasured93
    Selection RiskAI86
    FreshnessAI58
    Surprise ControlAI82

    IDENTITY

    Did the mix sound like you?

    15%94
    Selection QualityAI92
    Identity ConsistencyAI97
    IntentionalityAI94
    ConfidenceAI93
    RestraintAI93
    SignatureAI95

    Energy arc

    0:00123:50

    Transitions analysed (6)

    4:12

    Long EQ blend with percussive layering

    A masterfully executed transition where the new track's shakers and hats emerge naturally from the previous groove.

    94
    9:50

    Phrase-aligned low-end swap

    Clean handover of the bass frequencies exactly on the 32-bar mark. Energy is perfectly maintained.

    90
    12:48

    Long EQ blend with low-end swap

    A textbook Afro-house transition. The incoming track's percussion is introduced so subtly it feels like a natural progression of the first track.

    92
    18:12

    Layered percussive blend

    Excellent phrasing. The transition occurs over a long period, allowing the rhythmic elements to braid together before the final swap.

    89
    24:15

    Long EQ blend with low-end swap

    A very smooth transition that maintains the rhythmic pulse perfectly.

    88
    29:50

    Mid-range layering and swap

    A solid transition, though the mid-frequencies get slightly crowded for a few bars.

    78

    Technical subscores

    86

    EQ balance

    92

    Beat alignment

    87

    Energy control

    93

    Tempo stability

    87

    Loudness control

    92

    Musical coherence

    90

    Harmonic compatibility

    88

    Transition cleanliness

    Measured (DSP)

    12 ms

    Beat-grid drift (median)

    Typical gap between the two tracks' beats while they play together. Lower is tighter.

    229 ms

    Drift p95

    Worst-case drift: 95% of the set stays tighter than this value.

    7,412

    Boundaries detected

    Points where the audio changes track or section.

    38

    Hard cuts / h

    Abrupt track changes per hour, with no blend between the two records.

    51

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    746

    Level jumps

    Sudden volume steps between tracks.

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Long static loops (6×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (5:00, 13:00, 21:00, 25:00, 31:00, 45:00). Long loops kill dancefloor momentum.

    Timeline

    • 2:45Groove Ignition
    • 7:15Hypnotic Peak
    • 15:45Groove Lock Peak
    • 21:30Atmospheric Shift
    • 25:30Percussive Lift
    • 29:50Risky pressure or vibe dip

    Coaching notes

    • Experiment with a 'dry' percussive break to contrast the atmospheric layers.
    • Use a rhythmic delay on the vocal chants to create more complex polyrhythms.
    • Consider a brief tempo automation (±0.5 BPM) to subtly drive energy during the peak.
    • Continue to master the art of long, patient blends.
    • Experiment with more dramatic EQ cuts to create sharper narrative shifts.
    • Explore the use of live-sounding percussion to further enhance the organic feel.
    • Continue to prioritize long-form blends to maintain the hypnotic state.
    • Use the vocal-led resolution as a template for building emotional peaks in future sets.
    • Maintain the high level of EQ precision observed in the 117:30 blend.
    Listen on SoundCloud

    Curious how your own set scores?

    Methodology and limitations

    This report is produced automatically from the published recording. It measures what is present in the audio file: a bad source encoding, a partial upload or a heavily processed broadcast version can change the measured values. Nothing here reflects the room, the crowd or the night itself.

    Read the full SOONOS methodology →

    Questions about this analysis

    What score does Culoe De Song's Culoe De Song LIVE @ Ziongate 23-09-23 get?
    Culoe De Song LIVE @ Ziongate 23-09-23 scores 85/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Culoe De Song LIVE @ Ziongate 23-09-23?
    The analysed recording runs 2h 04m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 94/100, while SURPRISE is the lowest at 82/100.
    How is this score calculated?
    SOONOS measures the audio with a DSP pass (beat grid, loudness, tempo, energy) and runs a multi-agent listening pass on top. Measured axes always override the listening layer, so an execution issue heard in the file caps the final score.

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