Dennis Ferrer — Dennis Ferrer - Social Experiment MMW 2014 (Trade, Miami Beach)

    House · 1h 27m · analysed 22 Aug 2026 · source: soundcloud.com

    Overall score
    84/100
    Level
    club ready
    Duration
    1h 27m
    Genre
    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, Dennis Ferrer.

    In short

    Dennis Ferrer - Social Experiment MMW 2014 (Trade, Miami Beach) by Dennis Ferrer scores 84/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (93/100) and the weakest is SURPRISE (81/100).

    This set breathes with the confidence of a DJ who knows exactly how to control a room without shouting.

    Key takeaways

    What worked

    • Groove continuity
    • Pacing and restraint
    • Selection depth

    What weakened the set

    • Recurring mid-frequency clash (2×) — Mid-range buildup muddies the soundstage and washes out vocals/synths during transitions. Detected 2× (09:45, 28:40).
    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (0:00, 13:00, 17:00, 66:00, 70:00, 76:00). Long loops kill dancefloor momentum.

    What to try next

    • Experiment with more dramatic EQ cuts during the peak of a blend to create instant tension.
    • Introduce a third deck for subtle atmospheric loops to deepen the 'Social Experiment' concept.
    • Use the vocal hooks as rhythmic elements by looping short fragments before the full reveal.
    • Continue to explore the intersection of soulful vocals and driving tech-house rhythms.

    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.

    • 05:12Measured (DSP)88/100Listen at 05:12

      Smooth transition focusing on percussive alignment and gradual low-end swap.

    • 09:45Measured (DSP)82/100Listen at 09:45

      Effective use of vocal elements to bridge the two tracks while maintaining the kick drive.

    • 11:45Measured (DSP)94/100Listen at 11:45

      Perfectly executed transition; the tracks merge into a single cohesive groove.

    • 16:12Measured (DSP)90/100Listen at 16:12

      Smooth introduction of vocal elements that enhances the existing track.

    • 20:45Measured (DSP)88/100Listen at 20:45

      Effective use of filters to clear space for the incoming track's lead elements.

    • 24:45Measured (DSP)92/100Listen at 24:45

      Expertly executed handover of the sub-bass, maintaining the rolling momentum perfectly.

    • 28:40Measured (DSP)85/100Listen at 28:40

      Smooth introduction of new percussive elements, though a slight mid-range build-up is audible.

    About this house set

    Dennis Ferrer - Social Experiment MMW 2014 (Trade, Miami Beach) is a house DJ set by Dennis Ferrer, running 1h 27m. It was measured by the SOONOS multi-agent engine and scores 84/100 overall — club ready.

    The engine files this performance as “Promising”.

    This set breathes with the confidence of a DJ who knows exactly how to control a room without shouting.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 93/100; the weakest is SURPRISE at 81/100.

    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 25 points, moving between 65 and 96 on the SOONOS energy scale — a moderate dynamic range across the set.

    7 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 210.8 grid breaks per hour, with a median beat offset of 20 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

    This set breathes with the confidence of a DJ who knows exactly how to control a room without shouting.

    The 8 dimensions

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

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%88
    Beat Alignmentmeasured82
    Transition Qualitymeasured90
    Phrase Accuracymeasured93
    EQ & Frequency Control (estimated)measured88
    Tempo Stability (estimated)measured95
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%90
    Narrative ArcAI92
    ProgressionAI89
    Tension & ReleaseAI86
    Section AwarenessAI91
    Flow ContinuityAI93
    PayoffAI89

    ENERGY

    Did you control the room?

    20%83
    Energy Curvemeasured82
    PacingAI92
    MomentumAI93
    Peak ManagementAI88
    Energy HandoffAI89
    Fatigue ControlAI29

    SURPRISE

    Did you remain unpredictable?

    15%81
    Unexpected MomentsAI84
    ContrastAI84
    Transition Varietymeasured93
    Selection RiskAI87
    FreshnessAI31
    Surprise ControlAI84

    IDENTITY

    Did the mix sound like you?

    15%93
    Selection QualityAI92
    Identity ConsistencyAI96
    IntentionalityAI94
    ConfidenceAI95
    RestraintAI90
    SignatureAI91

    Energy arc

    0:0087:23

    Transitions analysed (7)

    05:12

    Long EQ blend

    Smooth transition focusing on percussive alignment and gradual low-end swap.

    88
    09:45

    Vocal layering blend

    Effective use of vocal elements to bridge the two tracks while maintaining the kick drive.

    82
    11:45

    Long EQ blend with low-end swap

    Perfectly executed transition; the tracks merge into a single cohesive groove.

    94
    16:12

    Vocal layering and mid-frequency swap

    Smooth introduction of vocal elements that enhances the existing track.

    90
    20:45

    Filter sweep and high-pass transition

    Effective use of filters to clear space for the incoming track's lead elements.

    88
    24:45

    Long percussive blend with low-end swap

    Expertly executed handover of the sub-bass, maintaining the rolling momentum perfectly.

    92
    28:40

    EQ-based layering

    Smooth introduction of new percussive elements, though a slight mid-range build-up is audible.

    85

    Technical subscores

    88

    EQ balance

    93

    Beat alignment

    88

    Energy control

    95

    Tempo stability

    88

    Loudness control

    90

    Musical coherence

    87

    Harmonic compatibility

    88

    Transition cleanliness

    Measured (DSP)

    20 ms

    Beat-grid drift (median)

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

    81 ms

    Drift p95

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

    5,226

    Boundaries detected

    Points where the audio changes track or section.

    28

    Hard cuts / h

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

    615

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    238

    Level jumps

    Sudden volume steps between tracks.

    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× (09:45, 28:40).

    • Long static loops (6×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (0:00, 13:00, 17:00, 66:00, 70:00, 76:00). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Groove continuity
    • Pacing and restraint
    • Selection depth

    Timeline

    • 04:30Groove Lock
    • 07:50Energy Plateau
    • 11:45Seamless Groove Handoff
    • 16:20Vocal Hook Peak
    • 20:10Filtered Breakdown
    • 26:15Groove Lock Peak

    Coaching notes

    • Experiment with more dramatic EQ cuts during the peak of a blend to create instant tension.
    • Introduce a third deck for subtle atmospheric loops to deepen the 'Social Experiment' concept.
    • Use the vocal hooks as rhythmic elements by looping short fragments before the full reveal.
    • Continue to explore the intersection of soulful vocals and driving tech-house rhythms.
    • Maintain the patient, long-blend mixing style as it is a core strength.
    • Consider adding a few more unexpected 'risk' tracks to further define a unique artistic voice.
    • Experiment with longer, more atmospheric breakdowns.
    • Incorporate more live percussion or synth elements.
    • Explore even more diverse vocal integrations.
    • Maintain this level of technical precision and artistic intent.
    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 Dennis Ferrer's Dennis Ferrer - Social Experiment MMW 2014 (Trade, Miami Beach) get?
    Dennis Ferrer - Social Experiment MMW 2014 (Trade, Miami Beach) scores 84/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is Dennis Ferrer - Social Experiment MMW 2014 (Trade, Miami Beach)?
    The analysed recording runs 1h 27m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 93/100, while SURPRISE is the lowest at 81/100.
    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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