Enrico Sangiuliano — Enrico Sangiuliano at Awakenings ADE 2019

In short

Enrico Sangiuliano at Awakenings ADE 2019 by Enrico Sangiuliano scores 73/100 in the SOONOS analysis (solid). The strongest dimension is IDENTITY (92/100) and the weakest is TECHNIQUE (55/100).

This segment demonstrates how subtle percussive layering can maintain a peak-time energy state without relying on obvious drops.

Key takeaways

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.

• 03:15Measured (DSP)92/100Listen at 03:15

  Perfectly executed transition that maintains the driving energy while introducing new percussive textures.

• 07:45Measured (DSP)88/100Listen at 07:45

  Smooth integration of a new rhythmic layer that builds the energy toward the first major peak.

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

  Seamless introduction of the next rhythmic element, maintaining the driving energy perfectly.

• 15:45Measured (DSP)92/100Listen at 15:45

  Precise low-end handover. The transition is almost imperceptible, creating a continuous groove.

• 19:40Measured (DSP)85/100Listen at 19:40

  Effective use of layering to build tension. A slight mid-range build-up is used artistically.

About this peak techno set

Enrico Sangiuliano at Awakenings ADE 2019 is a peak techno DJ set by Enrico Sangiuliano, running 1h 31m. It was measured by the SOONOS multi-agent engine and scores 73/100 overall — solid.

The engine files this performance as “Promising”.

This segment demonstrates how subtle percussive layering can maintain a peak-time energy state without relying on obvious drops.

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 55/100.

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 38 points, moving between 10 and 98 on the SOONOS energy scale — a wide dynamic range across the set.

7 transitions were detected and scored individually.

Beat-grid measurement (DSP) reports 1808.3 grid breaks per hour, with a median beat offset of 70 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.

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.

Questions about this analysis

What score does Enrico Sangiuliano's Enrico Sangiuliano at Awakenings ADE 2019 get?

Enrico Sangiuliano at Awakenings ADE 2019 scores 73/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.

How long is Enrico Sangiuliano at Awakenings ADE 2019?

The analysed recording runs 1h 31m.

Which part of the mix scores best?

IDENTITY is the strongest category at 92/100, while TECHNIQUE is the lowest at 55/100.

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.