Lee Foss — Lee Foss Ibiza Voice Podcast - 19th August 2010
House · 1h 39m · 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 Ibiza Voice Podcast - 19th August 2010 by Lee Foss scores 79/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (87/100) and the weakest is SURPRISE (75/100).
This mix demonstrates that professional restraint and a focus on the 'pocket' can be more effective than constant drops.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (13:00, 19:00, 26:00, 33:00, 41:00, 44:00). Long loops kill dancefloor momentum.
What to try next
- Experiment with teasing elements from the next track for longer periods.
- Use more dramatic filter sweeps to signal upcoming changes.
- Incorporate some 'left-field' tracks to add a element of surprise.
- Focus on creating more complex layering during the peak moments.
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.
Masterful handover of the percussion; the transition is almost imperceptible.
Smooth integration of the 'You Want Me' vocal track.
Smooth low-end handover on the phrase, maintaining groove continuity.
Effective use of a breakdown to introduce new elements without clashing.
Seamless integration of percussive elements.
About this house set
Lee Foss Ibiza Voice Podcast - 19th August 2010 is a house DJ set by Lee Foss, running 1h 39m. It was measured by the SOONOS multi-agent engine and scores 79/100 overall — club ready.
The engine files this performance as “Promising”.
This mix demonstrates that professional restraint and a focus on the 'pocket' can be more effective than constant drops.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 87/100; the weakest is SURPRISE at 75/100.
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 44 points, moving between 40 and 88 on the SOONOS energy scale — a wide dynamic range across the set.
5 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 208.8 grid breaks per hour, with a median beat offset of 22 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 mix demonstrates that professional restraint and a focus on the 'pocket' can be more effective than constant drops.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%86
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%83
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%78
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%75
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%87
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (5)
Long EQ blend with high-pass swap
Masterful handover of the percussion; the transition is almost imperceptible.
Mid-range layering
Smooth integration of the 'You Want Me' vocal track.
32-bar EQ blend
Smooth low-end handover on the phrase, maintaining groove continuity.
EQ swap during breakdown
Effective use of a breakdown to introduce new elements without clashing.
Long EQ blend
Seamless integration of percussive elements.
Technical subscores
88
EQ balance
93
Beat alignment
84
Energy control
93
Tempo stability
85
Loudness control
87
Musical coherence
86
Harmonic compatibility
89
Transition cleanliness
Measured (DSP)
22 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
93 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
5,948
Boundaries detected
Points where the audio changes track or section.
52
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
93
Clipping events
Moments where the recording hits the ceiling and distorts.
634
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 (13:00, 19:00, 26:00, 33:00, 41:00, 44:00). Long loops kill dancefloor momentum.
Timeline
- 14:50Groove Lock
- 19:15Vocal Peak
- 26:30Groove Lock
- 29:15Energy Lift
Coaching notes
- Experiment with teasing elements from the next track for longer periods.
- Use more dramatic filter sweeps to signal upcoming changes.
- Incorporate some 'left-field' tracks to add a element of surprise.
- Focus on creating more complex layering during the peak moments.
- Introduce more distinct melodic elements to create memorable peaks.
- Experiment with brief high-pass filter sweeps to create tension and release.
- Incorporate subtle vocal samples to add a human element to the percussive drive.
- Try a slightly more aggressive EQ swap to create a more pronounced transition point.
- Introduce more frequent micro-modulations (filters, delays) to keep the energy evolving during long plateaus.
- Experiment with a 'surprise' track that breaks the genre mold slightly to re-engage the listener's attention.
- Use the breakdowns of the tracks more effectively to create moments of silence before a high-impact re-entry.
- Experiment with more pronounced melodic shifts to add emotional depth.
- Utilize breakdowns more strategically to create moments of anticipation.
- Incorporate more recognizable vocal hooks to increase crowd engagement.
- Use more dramatic filter sweeps to signal upcoming changes.
- Experiment with layering a third percussive element to add complexity.
- Vary the length of transitions to keep the listener guessing.
- Incorporate a 'reset' moment with a longer breakdown to refresh the dancefloor's ears.
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 Ibiza Voice Podcast - 19th August 2010 get?
- Lee Foss Ibiza Voice Podcast - 19th August 2010 scores 79/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
- How long is Lee Foss Ibiza Voice Podcast - 19th August 2010?
- The analysed recording runs 1h 39m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 87/100, while SURPRISE is the lowest at 75/100.
- 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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