Adam Ten — Adam Ten @ Petersen Automotive Museum, LA
Melodic House · 2h 01m · analysed 21 Aug 2026 · source: soundcloud.com
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.
Perfectly timed entry of the vocal track, maintaining the percussive energy.
Smooth transition into a more driving percussive section.
Strategic disruption
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.
Full SOONOS analysis
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
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%87
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%82
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%81
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%92
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (6)
Long EQ blend with vocal overlap
Perfectly timed entry of the vocal track, maintaining the percussive energy.
Bass swap on the 32nd bar
Smooth transition into a more driving percussive section.
Invisible Handover
Minor EQ Overlap
strategic_disruption
Perfect Phrase Match
Long EQ blend with high-pass filter swap
Incredibly smooth transition where the incoming percussion replaces the outgoing hats perfectly.
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.
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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Test how a set like this one would land in a club, a beach club or a festival.
Get the same breakdown on your own set: transitions, energy arc and measured execution.
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