Adam Ten — Adam Ten @ Petersen Automotive Museum, LA

    Melodic House · 2h 01m · analysed 21 Aug 2026 · source: soundcloud.com

    Overall score
    83/100
    Level
    club ready
    Duration
    2h 01m
    Genre
    Melodic 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, Adam Ten.

    In short

    Adam Ten @ Petersen Automotive Museum, LA by Adam Ten scores 83/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (92/100) and the weakest is TECHNIQUE (80/100).

    The engine files this performance as “Promising”.

    Key takeaways

    What weakened the set

    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (4:00, 28:00, 34:15, 64:00, 68:00, 72:00). Long loops kill dancefloor momentum.

    What to try next

    • Experiment with live percussive elements to enhance the organic feel.
    • Incorporate more field recordings or ambient textures during breakdowns.
    • Try a slightly more abrupt 'reset' transition earlier in the set to create dynamic contrast.

    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.

    • 03:52Measured (DSP)88/100Listen at 03:52

      Perfectly timed entry of the vocal track, maintaining the percussive energy.

    • 08:45Measured (DSP)82/100Listen at 08:45

      Smooth transition into a more driving percussive section.

    • 17:25Measured (DSP)82/100Listen at 17:25

      Strategic disruption

    • 25:45Measured (DSP)94/100Listen at 25:45

      Incredibly smooth transition where the incoming percussion replaces the outgoing hats perfectly.

    About this melodic house set

    Adam Ten @ Petersen Automotive Museum, LA is a melodic house DJ set by Adam Ten, running 2h 01m. It was measured by the SOONOS multi-agent engine and scores 83/100 overall — club ready.

    The engine files this performance as “Promising”.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 92/100; the weakest is TECHNIQUE at 80/100.

    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 48 points, moving between 40 and 90 on the SOONOS energy scale — a wide dynamic range across the set.

    6 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 158.8 grid breaks per hour, with a median beat offset of 27 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 8 dimensions

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

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%80
    Beat Alignmentmeasured70
    Transition Qualitymeasured65
    Phrase Accuracymeasured91
    EQ & Frequency Control (estimated)measured89
    Tempo Stability (estimated)measured94
    Technical Cleanlinessmeasured77

    STORYTELLING

    Did the mix go somewhere?

    25%87
    Narrative ArcAI91
    ProgressionAI87
    Tension & ReleaseAI82
    Section AwarenessAI88
    Flow ContinuityAI91
    PayoffAI82

    ENERGY

    Did you control the room?

    20%82
    Energy Curvemeasured82
    PacingAI90
    MomentumAI89
    Peak ManagementAI84
    Energy HandoffAI86
    Fatigue ControlAI40

    SURPRISE

    Did you remain unpredictable?

    15%81
    Unexpected MomentsAI82
    ContrastAI82
    Transition Varietymeasured92
    Selection RiskAI84
    FreshnessAI45
    Surprise ControlAI82

    IDENTITY

    Did the mix sound like you?

    15%92
    Selection QualityAI91
    Identity ConsistencyAI96
    IntentionalityAI92
    ConfidenceAI91
    RestraintAI91
    SignatureAI91

    Energy arc

    00:00120:00

    Transitions analysed (6)

    03:52

    Long EQ blend with vocal overlap

    Perfectly timed entry of the vocal track, maintaining the percussive energy.

    88
    08:45

    Bass swap on the 32nd bar

    Smooth transition into a more driving percussive section.

    82
    13:12

    Invisible Handover

    100
    17:25

    Minor EQ Overlap

    strategic_disruption

    82
    21:50

    Perfect Phrase Match

    100
    25:45

    Long EQ blend with high-pass filter swap

    Incredibly smooth transition where the incoming percussion replaces the outgoing hats perfectly.

    94

    Technical subscores

    89

    EQ balance

    93

    Beat alignment

    86

    Energy control

    94

    Tempo stability

    88

    Loudness control

    90

    Musical coherence

    89

    Harmonic compatibility

    90

    Transition cleanliness

    Measured (DSP)

    27 ms

    Beat-grid drift (median)

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

    42 ms

    Drift p95

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

    7,212

    Boundaries detected

    Points where the audio changes track or section.

    140

    Hard cuts / h

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

    128

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    784

    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 (4:00, 28:00, 34:15, 64:00, 68:00, 72:00). Long loops kill dancefloor momentum.

    Timeline

    • 03:45Vocal Hook Entry
    • 07:15Percussive Breakdown
    • 28:12Groove Lock Peak

    Coaching notes

    • Experiment with live percussive elements to enhance the organic feel.
    • Incorporate more field recordings or ambient textures during breakdowns.
    • Try a slightly more abrupt 'reset' transition earlier in the set to create dynamic contrast.
    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 Adam Ten's Adam Ten @ Petersen Automotive Museum, LA get?
    Adam Ten @ Petersen Automotive Museum, LA scores 83/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is Adam Ten @ Petersen Automotive Museum, LA?
    The analysed recording runs 2h 01m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 92/100, while TECHNIQUE is the lowest at 80/100.
    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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