Patrice Bäumel — BBC Essential Mix 23/9/2017 - clean version
Melodic Techno · 1h 58m · analysed 24 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, Patrice Bäumel.
In short
BBC Essential Mix 23/9/2017 - clean version by Patrice Bäumel scores 87/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (94/100) and the weakest is SURPRISE (85/100).
True mastery isn't about how many tracks you can mix, but how deeply you can make the listener feel a single moment.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (27:30, 35:00, 40:00, 45:00, 47:00, 54:45). Long loops kill dancefloor momentum.
What to try next
- Continue to explore subtle melodic variations to add emotional depth.
- Experiment with brief, intentional rhythmic disruptions to create moments of surprise.
- Maintain the exceptional technical standard shown in this segment.
- Continue exploring the interplay between industrial textures and melodic pads.
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.
Flawless transition from the spoken word intro into the first rhythmic track. The EQ work is invisible.
A very smooth handover of percussive elements. The new track's hats are introduced perfectly on phrase.
Extremely patient 60-second blend. The low-end swap is imperceptible, maintaining the hypnotic groove perfectly.
The long reverb tail of the vocal slightly clutters the mid-range as the new track's synths enter. Minor loss of clarity but groove survives.
Masterful handover of low frequencies, maintaining the groove perfectly.
About this melodic techno set
BBC Essential Mix 23/9/2017 - clean version is a melodic techno DJ set by Patrice Bäumel, running 1h 58m. It was measured by the SOONOS multi-agent engine and scores 87/100 overall — festival ready.
The engine files this performance as “Promising”.
True mastery isn't about how many tracks you can mix, but how deeply you can make the listener feel a single moment.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 94/100; the weakest is SURPRISE 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 67 points, moving between 20 and 92 on the SOONOS energy scale — a wide dynamic range across the set.
5 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 162.1 grid breaks per hour, with a median beat offset of 20 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
True mastery isn't about how many tracks you can mix, but how deeply you can make the listener feel a single moment.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%89
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%91
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%87
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%85
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%94
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (5)
Atmospheric crossfade into percussive loop
Flawless transition from the spoken word intro into the first rhythmic track. The EQ work is invisible.
Long EQ blend with high-pass filtering
A very smooth handover of percussive elements. The new track's hats are introduced perfectly on phrase.
Long EQ blend, slow bass swap
Extremely patient 60-second blend. The low-end swap is imperceptible, maintaining the hypnotic groove perfectly.
Vocal tail overlap with new percussive groove
The long reverb tail of the vocal slightly clutters the mid-range as the new track's synths enter. Minor loss of clarity but groove survives.
Long-form EQ blend
Masterful handover of low frequencies, maintaining the groove perfectly.
Technical subscores
91
EQ balance
96
Beat alignment
88
Energy control
97
Tempo stability
90
Loudness control
94
Musical coherence
92
Harmonic compatibility
93
Transition cleanliness
Measured (DSP)
20 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
46 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
7,064
Boundaries detected
Points where the audio changes track or section.
22
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
81
Clipping events
Moments where the recording hits the ceiling and distorts.
153
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 (27:30, 35:00, 40:00, 45:00, 47:00, 54:45). Long loops kill dancefloor momentum.
Timeline
- 0:30Thematic Hook
- 5:45Groove Lock
- 16:15Vocal Entry
- 19:30Deep Breakdown
- 21:20Mid-Range Clutter
- 28:30Hypnotic Peak
Coaching notes
- Continue to explore subtle melodic variations to add emotional depth.
- Experiment with brief, intentional rhythmic disruptions to create moments of surprise.
- Maintain the exceptional technical standard shown in this segment.
- Continue exploring the interplay between industrial textures and melodic pads.
- Maintain the long-form blending style as it is a core strength.
- Consider a brief rhythmic 'reset' to further emphasize the power of the rolling groove.
- Continue to explore long, textural blends as they are a signature strength.
- Experiment with subtle melodic motifs to provide occasional focal points.
- Maintain the current level of restraint in energy management.
- Experiment with subtle melodic shifts to add another layer of narrative depth.
- Continue to refine the use of vocal fragments as a tool for building psychological tension.
- Ensure the sub-bass remains perfectly consistent during the most complex layering sections.
- Continue exploring long-form melodic layering.
- Maintain the high standard of EQ management shown here.
- Experiment with subtle atmospheric field recordings in transitions.
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 Patrice Bäumel's BBC Essential Mix 23/9/2017 - clean version get?
- BBC Essential Mix 23/9/2017 - clean version scores 87/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
- How long is BBC Essential Mix 23/9/2017 - clean version?
- The analysed recording runs 1h 58m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 94/100, while SURPRISE 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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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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