Charlotte de Witte — Charlotte de Witte at AMF Festival 2023

    Hard Techno · 58 min · analysed 18 Aug 2026 · source: soundcloud.com

    Overall score
    87/100
    Level
    festival ready
    Duration
    58 min
    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, Charlotte de Witte.

    In short

    Charlotte de Witte at AMF Festival 2023 by Charlotte de Witte scores 87/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (94/100) and the weakest is TECHNIQUE (85/100).

    This mix is a testament to the power of uncompromising, driving techno in a festival setting.

    Key takeaways

    What worked

    • Exceptional energy management.
    • Technical precision in mixing.
    • Strong artistic identity.
    • Technical precision

    What weakened the set

    • Long static loops (4×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (17:00, 29:00, 35:00, 39:00). Long loops kill dancefloor momentum.

    What to try next

    • Introduce a brief atmospheric breakdown to provide a moment of contrast.
    • Experiment with more syncopated percussion layers to add rhythmic depth.
    • Utilize high-pass filter sweeps more aggressively during builds for added tension.

    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.

    About this hard techno set

    Charlotte de Witte at AMF Festival 2023 is a hard techno DJ set by Charlotte de Witte, running 58 min. 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 is a testament to the power of uncompromising, driving techno in a festival setting.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 94/100; the weakest is TECHNIQUE at 85/100.

    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 21 points, moving between 75 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 636.7 grid breaks per hour, with a median beat offset of 6 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 mix is a testament to the power of uncompromising, driving techno in a festival setting.

    The 8 dimensions

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

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%85
    Beat Alignmentmeasured98
    Transition Qualitymeasured60
    Phrase Accuracymeasured93
    EQ & Frequency Control (estimated)measured89
    Tempo Stability (estimated)measured97
    Technical Cleanlinessmeasured71

    STORYTELLING

    Did the mix go somewhere?

    25%93
    Narrative ArcAI94
    ProgressionAI92
    Tension & ReleaseAI93
    Section AwarenessAI92
    Flow ContinuityAI92
    PayoffAI97

    ENERGY

    Did you control the room?

    20%91
    Energy Curvemeasured88
    PacingAI91
    MomentumAI96
    Peak ManagementAI94
    Energy HandoffAI94
    Fatigue ControlAI83

    SURPRISE

    Did you remain unpredictable?

    15%88
    Unexpected MomentsAI85
    ContrastAI85
    Transition Varietymeasured94
    Selection RiskAI90
    FreshnessAI86
    Surprise ControlAI85

    IDENTITY

    Did the mix sound like you?

    15%94
    Selection QualityAI93
    Identity ConsistencyAI98
    IntentionalityAI96
    ConfidenceAI97
    RestraintAI83
    SignatureAI96

    Energy arc

    12:0046:00

    Transitions analysed (7)

    2:15

    Perfect Blend

    100
    6:30

    Minor EQ Overlap

    82
    10:45

    Seamless Phrase Swap

    100
    13:30

    Long EQ blend with low-end swap.

    Seamless transition maintaining the driving energy.

    92
    16:45

    Quick cut on the drop.

    High-impact transition that energizes the crowd.

    88
    24:12

    Perfect Blend

    100
    28:05

    Minor EQ Overlap

    intentional_reset

    82

    Technical subscores

    89

    EQ balance

    94

    Beat alignment

    93

    Energy control

    97

    Tempo stability

    93

    Loudness control

    91

    Musical coherence

    86

    Harmonic compatibility

    90

    Transition cleanliness

    Measured (DSP)

    6 ms

    Beat-grid drift (median)

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

    181 ms

    Drift p95

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

    3,433

    Boundaries detected

    Points where the audio changes track or section.

    159

    Hard cuts / h

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

    0

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    178

    Level jumps

    Sudden volume steps between tracks.

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Long static loops (4×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (17:00, 29:00, 35:00, 39:00). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Exceptional energy management.
    • Technical precision in mixing.
    • Strong artistic identity.
    • Technical precision
    • Energy maintenance
    • Stylistic consistency

    Timeline

    • 18:20Masterful Buildup
    • 21:10Rhythmic Peak
    • 27:08Energy Surge

    Coaching notes

    • Introduce a brief atmospheric breakdown to provide a moment of contrast.
    • Experiment with more syncopated percussion layers to add rhythmic depth.
    • Utilize high-pass filter sweeps more aggressively during builds for added tension.
    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 Charlotte de Witte's Charlotte de Witte at AMF Festival 2023 get?
    Charlotte de Witte at AMF Festival 2023 scores 87/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Charlotte de Witte at AMF Festival 2023?
    The analysed recording runs 58 min.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 94/100, while TECHNIQUE is the lowest at 85/100.
    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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