Derrick MayDerrick May @ BBC 6 Mix :: FREE DOWNLOAD ::

    Classics · 1h 58m · analysed 18 Aug 2026

    Overall score
    87/100
    Level
    festival ready
    Duration
    1h 58m
    Genre
    Classics

    About this classics set

    Derrick May @ BBC 6 Mix :: FREE DOWNLOAD :: is a classics DJ set by Derrick May, running 1h 58m. It was measured by the SOONOS multi-agent engine and scores 87/100 overall — festival ready.

    The engine files this performance as “Promising”.

    This mix proves that a DJ's voice—both literal and musical—is their most powerful tool for building a lasting connection with the audience.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 96/100; the weakest is TECHNIQUE at 84/100.

    The final score is capped by measured -: the DSP layer overrides the listening layer whenever it measures an execution issue directly in the audio.

    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 49 points, moving between 20 and 95 on the SOONOS energy scale — a wide dynamic range across the set.

    4 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 928.3 grid breaks per hour, with a median beat offset of 25 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    This mix proves that a DJ's voice—both literal and musical—is their most powerful tool for building a lasting connection with the audience.

    The 8 dimensions

    Technical precision0
    Track selection0
    Energy arc0
    Crowd control0
    Harmonic depth0
    Groove patience0
    Creativity0
    Signature0

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%84
    Beat Alignmentmeasured74
    Transition Qualitymeasured82
    Phrase Accuracymeasured93
    EQ & Frequency Control (estimated)measured85
    Tempo Stability (estimated)measured89
    Technical Cleanlinessmeasured79

    STORYTELLING

    Did the mix go somewhere?

    25%92
    Narrative ArcAI94
    ProgressionAI90
    Tension & ReleaseAI91
    Section AwarenessAI94
    Flow ContinuityAI94
    PayoffAI89

    ENERGY

    Did you control the room?

    20%89
    Energy Curvemeasured91
    PacingAI94
    MomentumAI92
    Peak ManagementAI89
    Energy HandoffAI90
    Fatigue ControlAI71

    SURPRISE

    Did you remain unpredictable?

    15%88
    Unexpected MomentsAI88
    ContrastAI89
    Transition Varietymeasured93
    Selection RiskAI91
    FreshnessAI71
    Surprise ControlAI88

    IDENTITY

    Did the mix sound like you?

    15%96
    Selection QualityAI97
    Identity ConsistencyAI97
    IntentionalityAI97
    ConfidenceAI96
    RestraintAI91
    SignatureAI98

    Final score capped by measured execution (-) — weighted average was 89.

    Energy arc

    0:00105:45

    Transitions analysed (4)

    3:48

    Long EQ blend with low-end swap

    Perfectly transparent transition that maintains the energy flow.

    90
    7:22

    Layered vocal introduction

    Smooth introduction of the vocal track, though slightly busy in the mids.

    85
    14:15

    Hard cut with vocal overlap

    A bold genre jump that relies on rhythmic alignment rather than EQ blending.

    75
    28:45

    Long EQ blend with rhythmic layering

    A masterfully executed blend where the new rhythmic elements emerge organically.

    92

    Technical subscores

    85

    EQ balance

    87

    Beat alignment

    88

    Energy control

    89

    Tempo stability

    85

    Loudness control

    91

    Musical coherence

    84

    Harmonic compatibility

    84

    Transition cleanliness

    Measured (DSP)

    25.4 ms

    Beat-grid drift (median)

    217.7 ms

    Drift p95

    7,055

    Boundaries detected

    36

    Hard cuts / h

    0

    Clipping events

    594

    Level jumps

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Recurring mid-frequency clash

      Mid-range buildup muddies the soundstage and washes out vocals/synths during transitions. Detected 2× (7:22, 14:15).

    • Long static loops (6×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (4:00, 8:00, 18:00, 31:00, 39:20, 47:00). Long loops kill dancefloor momentum.

    Timeline

    • 0:05The Voice of Detroit
    • 6:18Vocal Hook Entry
    • 11:15Synth Pad Swell
    • 14:25Genre Fusion Peak
    • 21:10Vocal Saturation
    • 14:15Risky pressure or vibe dip
    • 26:30Groove Lock

    Coaching notes

    • Experiment with brief, high-impact percussive cuts to contrast the long blends.
    • Utilize more extreme filter sweeps to heighten tension during vocal breakdowns.
    • Introduce a raw, industrial element to further emphasize the Detroit roots.
    • Maintain the long, evolving blends as they are a key strength.
    • Continue to prioritize tracks with strong melodic signatures.
    • Experiment with even more dramatic EQ manipulation to enhance tension.
    • Continue using personal anecdotes to frame track selections.
    • Experiment with subtle FX (reverb/delay) on the vocal mic for atmospheric effect.
    • Ensure the transition back to full-energy tracks is always phrase-aligned to maintain the 'hypnotic' state.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Derrick May's Derrick May @ BBC 6 Mix :: FREE DOWNLOAD :: get?
    Derrick May @ BBC 6 Mix :: FREE DOWNLOAD :: scores 87/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Derrick May @ BBC 6 Mix :: FREE DOWNLOAD ::?
    The analysed recording runs 1h 58m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 96/100, while TECHNIQUE is the lowest at 84/100.
    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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