What score does Dosem's Dosem @ Womb Tokyo (Japan, 2023) get?

Dosem @ Womb Tokyo (Japan, 2023) scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.

How long is Dosem @ Womb Tokyo (Japan, 2023)?

The analysed recording runs 1h 59m.

Which part of the mix scores best?

IDENTITY is the strongest category at 93/100, while SURPRISE is the lowest at 81/100.

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.

Dosem

Dosem — Dosem @ Womb Tokyo (Japan, 2023)

Melodic Techno · 1h 59m · analysed 22 Aug 2026 · source: soundcloud.com

Overall score

86/100

Level

festival ready

Duration

1h 59m

Genre

Melodic 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, Dosem.

In short

Dosem @ Womb Tokyo (Japan, 2023) by Dosem scores 86/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (93/100) and the weakest is SURPRISE (81/100).

This is the sound of a DJ who trusts their tracks enough to let them breathe, using transitions as bridges rather than interruptions.

Key takeaways

What worked

Technical precision in EQ blending.
Exceptional pacing and patience.
Strong thematic consistency.

What weakened the set

Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (21:00, 26:00, 34:00, 36:00, 44:45, 55:00). Long loops kill dancefloor momentum.

What to try next

Experiment with shorter, more aggressive cuts to contrast the long blends.
Use vocal stems more prominently to anchor the melodic themes.
Slightly increase the mid-range EQ during peaks to add more 'bite' to the leads.
Experiment with brief, high-tension breakdowns to create more dramatic releases.

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.

4:12Measured (DSP)94/100Listen at 4:12
Perfectly executed long blend where the new bassline emerges organically from the previous atmosphere.
8:45Measured (DSP)90/100Listen at 8:45
Smooth integration of melodic elements; the DJ uses filters to mask the entry of the new lead synth.
13:12Measured (DSP)92/100Listen at 13:12
A masterclass in transparency; the new bassline emerges without any phase cancellation.
18:45Measured (DSP)88/100Listen at 18:45
Smooth integration of melodic elements, using filters to manage the energy handoff.
25:45Measured (DSP)92/100Listen at 25:45
Seamless introduction of the new percussion loop, perfectly phase-aligned.
30:12Measured (DSP)95/100Listen at 30:12
A masterclass in melodic techno mixing; the keys align perfectly to create a new harmonic structure.

About this melodic techno set

Dosem @ Womb Tokyo (Japan, 2023) is a melodic techno DJ set by Dosem, running 1h 59m. It was measured by the SOONOS multi-agent engine and scores 86/100 overall — festival ready.

The engine files this performance as “Promising”.

This is the sound of a DJ who trusts their tracks enough to let them breathe, using transitions as bridges rather than interruptions.

How the score breaks down

SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 93/100; the weakest is SURPRISE at 81/100.

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 51 points, moving between 65 and 92 on the SOONOS energy scale — a moderate dynamic range across the set.

6 transitions were detected and scored individually.

Beat-grid measurement (DSP) reports 346.4 grid breaks per hour, with a median beat offset of 7 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

This is the sound of a DJ who trusts their tracks enough to let them breathe, using transitions as bridges rather than interruptions.

The 8 dimensions

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

Score breakdown

TECHNIQUE

How well did you execute?

25%88

Beat Alignmentmeasured98

Transition Qualitymeasured78

Phrase Accuracymeasured94

EQ & Frequency Control (estimated)measured91

Tempo Stability (estimated)measured96

Technical Cleanlinessmeasured62

STORYTELLING

Did the mix go somewhere?

25%89

Narrative ArcAI92

ProgressionAI88

Tension & ReleaseAI85

Section AwarenessAI89

Flow ContinuityAI93

PayoffAI84

ENERGY

Did you control the room?

20%85

Energy Curvemeasured86

PacingAI91

MomentumAI91

Peak ManagementAI87

Energy HandoffAI88

Fatigue ControlAI48

SURPRISE

Did you remain unpredictable?

15%81

Unexpected MomentsAI81

ContrastAI84

Transition Varietymeasured93

Selection RiskAI85

FreshnessAI49

Surprise ControlAI81

IDENTITY

Did the mix sound like you?

15%93

Selection QualityAI91

Identity ConsistencyAI96

IntentionalityAI93

ConfidenceAI93

RestraintAI91

SignatureAI91

Energy arc

12:00118:58