SOONOS

    Paula TemplePaula Temple at ADE 2024

    Hard Techno · 1h 26m · analysed 24 Aug 2026 · source: soundcloud.com

    Overall score
    86/100
    Level
    festival ready
    Duration
    1h 26m
    Genre
    Hard Techno

    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, Paula Temple.

    In short

    Paula Temple at ADE 2024 by Paula Temple scores 86/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (95/100) and the weakest is SURPRISE (82/100).

    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 (0:00, 4:00, 18:30, 44:30, 50:00, 54:00). Long loops kill dancefloor momentum.

    What to try next

    • Introduce a single 'dry' percussive element to contrast the heavy distortion.
    • Experiment with longer, 64-bar blends to further enhance the hypnotic effect.
    • Use a master isolator to perform more dramatic frequency kills during breakdowns.
    • Introduce more extreme dynamic shifts to create moments of 'silence' before industrial drops.

    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.

    • 3:42Measured (DSP)92/100Listen at 3:42

      Expertly woven transition where the industrial grit of the new track replaces the previous groove without a drop in pressure.

    • 7:55Measured (DSP)88/100Listen at 7:55

      Clean low-end swap that maintains the driving momentum of the set.

    • 13:15Measured (DSP)85/100Listen at 13:15

      Smooth transition that maintains the driving kick while swapping the percussive top-end.

    • 17:40Measured (DSP)78/100Listen at 17:40

      A brief moment of frequency masking in the mids, but the energy remains high.

    • 22:25Measured (DSP)92/100Listen at 22:25

      Seamless integration of new industrial hats over the existing groove.

    • 25:12Measured (DSP)95/100Listen at 25:12

      High-impact transition that shifts the melodic focus without losing energy.

    • 28:48Measured (DSP)88/100Listen at 28:48

      Smooth handover of the low-end rumble, maintaining consistent pressure.

    About this hard techno set

    Paula Temple at ADE 2024 is a hard techno DJ set by Paula Temple, running 1h 26m. It was measured by the SOONOS multi-agent engine and scores 86/100 overall — festival 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 95/100; 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 40 points, moving between 75 and 98 on the SOONOS energy scale — a moderate dynamic range across the set.

    7 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 354.0 grid breaks per hour, with a median beat offset of 15 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%83
    Beat Alignmentmeasured88
    Transition Qualitymeasured63
    Phrase Accuracymeasured93
    EQ & Frequency Control (estimated)measured86
    Tempo Stability (estimated)measured95
    Technical Cleanlinessmeasured73

    STORYTELLING

    Did the mix go somewhere?

    25%92
    Narrative ArcAI94
    ProgressionAI92
    Tension & ReleaseAI88
    Section AwarenessAI93
    Flow ContinuityAI94
    PayoffAI95

    ENERGY

    Did you control the room?

    20%86
    Energy Curvemeasured85
    PacingAI92
    MomentumAI96
    Peak ManagementAI91
    Energy HandoffAI93
    Fatigue ControlAI40

    SURPRISE

    Did you remain unpredictable?

    15%82
    Unexpected MomentsAI86
    ContrastAI79
    Transition Varietymeasured94
    Selection RiskAI91
    FreshnessAI40
    Surprise ControlAI86

    IDENTITY

    Did the mix sound like you?

    15%95
    Selection QualityAI95
    Identity ConsistencyAI99
    IntentionalityAI96
    ConfidenceAI98
    RestraintAI84
    SignatureAI97

    Energy arc

    0:0086:00

    Transitions analysed (7)

    3:42

    Long percussive blend with high-pass filtering

    Expertly woven transition where the industrial grit of the new track replaces the previous groove without a drop in pressure.

    92
    7:55

    EQ-based swap on the 1st beat of the phrase

    Clean low-end swap that maintains the driving momentum of the set.

    88
    13:15

    Fast EQ swap with high-pass filtering

    Smooth transition that maintains the driving kick while swapping the percussive top-end.

    85
    17:40

    Layered blend with mid-range overlap

    A brief moment of frequency masking in the mids, but the energy remains high.

    78
    22:25

    Percussive layering with high-pass filter swap

    Seamless integration of new industrial hats over the existing groove.

    92
    25:12

    Drop swap with mid-range lead takeover

    High-impact transition that shifts the melodic focus without losing energy.

    95
    28:48

    Long percussive blend

    Smooth handover of the low-end rumble, maintaining consistent pressure.

    88

    Technical subscores

    86

    EQ balance

    93

    Beat alignment

    93

    Energy control

    95

    Tempo stability

    88

    Loudness control

    92

    Musical coherence

    80

    Harmonic compatibility

    87

    Transition cleanliness

    Measured (DSP)

    15 ms

    Beat-grid drift (median)

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

    148 ms

    Drift p95

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

    5,147

    Boundaries detected

    Points where the audio changes track or section.

    206

    Hard cuts / h

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

    17

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    338

    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 (0:00, 4:00, 18:30, 44:30, 50:00, 54:00). Long loops kill dancefloor momentum.

    Timeline

    • 0:00Atmospheric Immersion
    • 5:15Rhythmic Complexity Peak
    • 9:45Energy Surge
    • 15:20Texture Peak
    • 19:45Rhythmic Shift
    • 17:40Risky pressure or vibe dip
    • 24:15Tension Peak
    • 27:40Sonic Density Warning
    • 30:10Groove Lock

    Coaching notes

    • Introduce a single 'dry' percussive element to contrast the heavy distortion.
    • Experiment with longer, 64-bar blends to further enhance the hypnotic effect.
    • Use a master isolator to perform more dramatic frequency kills during breakdowns.
    • Introduce more extreme dynamic shifts to create moments of 'silence' before industrial drops.
    • Experiment with more dissonant melodic elements to enhance the dark atmosphere.
    • Utilize hard cuts more frequently to emphasize the mechanical nature of the set.
    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 Paula Temple's Paula Temple at ADE 2024 get?
    Paula Temple at ADE 2024 scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Paula Temple at ADE 2024?
    The analysed recording runs 1h 26m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 95/100, 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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