Lee Foss — Lee Foss - The Kazbah Burning Man Sunrise Set 2014 Pt 1
House · 1h 42m · Burning MAN · analysed 23 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, Lee Foss.
In short
Lee Foss - The Kazbah Burning Man Sunrise Set 2014 Pt 1 by Lee Foss scores 85/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (92/100) and the weakest is SURPRISE (82/100).
This is how you play for a crowd that has been dancing for 10 hours: with respect, patience, and a deep understanding of groove.
Key takeaways
What worked
- Exceptional pacing and restraint.
- Seamless, invisible technical execution.
- Strong sense of place and time (sunrise context).
- Technical precision in long blends.
What weakened the set
- Recurring mid-frequency clash (2×) — Mid-range buildup muddies the soundstage and washes out vocals/synths during transitions. Detected 2× (16:22, 28:05).
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (0:00, 21:00, 29:00, 68:00, 76:00, 80:00). Long loops kill dancefloor momentum.
What to try next
- Continue to explore the intersection of deep house and soulful vocals.
- Maintain the patient pacing that defines this set.
- Experiment with subtle live FX to add another layer of dynamism.
- Experiment with even longer, more atmospheric breakdowns to enhance the sunrise feel.
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.
Invisible transition that maintains the hypnotic state perfectly.
Smooth transition into a more melodic track, enhancing the sunrise vibe.
Perfectly transparent transition. The incoming bassline takes over without any audible dip or clash.
Smooth transition that focuses on the percussive interplay between tracks.
Effective use of a natural track breakdown to switch the low-end energy.
Perfectly executed transition that maintains the groove pocket seamlessly.
Slightly abrupt entry of the new track's percussion, though the beatmatch is solid.
About this house set
Lee Foss - The Kazbah Burning Man Sunrise Set 2014 Pt 1 is a house DJ set by Lee Foss, running 1h 42m. It was measured by the SOONOS multi-agent engine and scores 85/100 overall — festival ready.
The engine files this performance as “Promising”.
This is how you play for a crowd that has been dancing for 10 hours: with respect, patience, and a deep understanding of groove.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 92/100; the weakest is SURPRISE at 82/100.
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 39 points, moving between 40 and 85 on the SOONOS energy scale — a wide dynamic range across the set.
7 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 185.1 grid breaks per hour, with a median beat offset of 24 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
This is how you play for a crowd that has been dancing for 10 hours: with respect, patience, and a deep understanding of groove.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%82
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%89
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%86
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%82
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 (7)
Long EQ blend with low-end swap.
Invisible transition that maintains the hypnotic state perfectly.
Harmonic blend with mid-range focus.
Smooth transition into a more melodic track, enhancing the sunrise vibe.
Long EQ blend, low-end swap on phrase
Perfectly transparent transition. The incoming bassline takes over without any audible dip or clash.
Mid-range layering with gradual high-pass filter
Smooth transition that focuses on the percussive interplay between tracks.
Bass-swap on the drop after a short breakdown
Effective use of a natural track breakdown to switch the low-end energy.
Long EQ blend with low-end swap
Perfectly executed transition that maintains the groove pocket seamlessly.
Mid-range EQ swap
Slightly abrupt entry of the new track's percussion, though the beatmatch is solid.
Technical subscores
86
EQ balance
92
Beat alignment
86
Energy control
93
Tempo stability
84
Loudness control
89
Musical coherence
87
Harmonic compatibility
87
Transition cleanliness
Measured (DSP)
24 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
64 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
6,126
Boundaries detected
Points where the audio changes track or section.
156
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
38
Clipping events
Moments where the recording hits the ceiling and distorts.
555
Level jumps
Sudden volume steps between tracks.
Measurement confidence 100% · analysed on the full audio.
Recurring patterns
Recurring mid-frequency clash
Mid-range buildup muddies the soundstage and washes out vocals/synths during transitions. Detected 2× (16:22, 28:05).
Long static loops (6×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (0:00, 21:00, 29:00, 68:00, 76:00, 80:00). Long loops kill dancefloor momentum.
What SOONOS heard
- Exceptional pacing and restraint.
- Seamless, invisible technical execution.
- Strong sense of place and time (sunrise context).
- Technical precision in long blends.
- Exceptional pacing and restraint.
- Coherent sonic narrative.
Timeline
- 0:00Atmospheric Hook
- 6:30Groove Lock
- 13:15Groove Lock
- 18:40Energy Plateau
- 26:45Filter Tension
- 28:05Risky pressure or vibe dip
Coaching notes
- Continue to explore the intersection of deep house and soulful vocals.
- Maintain the patient pacing that defines this set.
- Experiment with subtle live FX to add another layer of dynamism.
- Experiment with even longer, more atmospheric breakdowns to enhance the sunrise feel.
- Incorporate more live-sounding percussion to add organic texture.
- Try layering two vocal tracks subtly to create unique mashup moments.
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 Lee Foss's Lee Foss - The Kazbah Burning Man Sunrise Set 2014 Pt 1 get?
- Lee Foss - The Kazbah Burning Man Sunrise Set 2014 Pt 1 scores 85/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
- How long is Lee Foss - The Kazbah Burning Man Sunrise Set 2014 Pt 1?
- The analysed recording runs 1h 42m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 92/100, while SURPRISE is the lowest at 82/100.
- 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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