Bell Towers — In-Store 006 - BELL TOWERS
Indie House · 1h 03m · 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, Bell Towers.
In short
In-Store 006 - BELL TOWERS by Bell Towers scores 73/100 in the SOONOS analysis (solid). The strongest dimension is TECHNIQUE (85/100) and the weakest is SURPRISE (71/100).
The DJ's strength lies in their ability to weave disparate sounds into a single, compelling story.
Key takeaways
What weakened the set
- Recurring mid-frequency clash (2×) — Mid-range buildup muddies the soundstage and washes out vocals/synths during transitions. Detected 2× (4:22, 26:20).
- Long static loops (5×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (15:00, 28:30, 31:00, 34:15, 46:00). Long loops kill dancefloor momentum.
What to try next
- Refine gain matching to avoid noticeable level jumps during transitions.
- Experiment with more creative EQ work to further blend the eclectic track choices.
- Continue to lean into the unique, narrative-driven selection that defines your style.
- Use more aggressive high-pass filtering during transitions to create 'air' before the next track drops.
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.
A slightly noticeable jump in volume as the new track takes over.
Smooth handover of percussive elements, maintaining energy.
Perfectly executed handover of the low end.
Vocal elements from the incoming track sit perfectly in the mix.
Seamless integration of new drum patterns.
Smooth handover of the low-end frequencies.
About this indie house set
In-Store 006 - BELL TOWERS is a indie house DJ set by Bell Towers, running 1h 03m. It was measured by the SOONOS multi-agent engine and scores 73/100 overall — solid.
The engine files this performance as “Promising”.
The DJ's strength lies in their ability to weave disparate sounds into a single, compelling story.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is TECHNIQUE at 85/100; the weakest is SURPRISE at 71/100.
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 33 points, moving between 20 and 78 on the SOONOS energy scale — a wide dynamic range across the set.
6 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 541.0 grid breaks per hour, with a median beat offset of 15 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 DJ's strength lies in their ability to weave disparate sounds into a single, compelling story.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%85
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%76
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%75
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%71
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%82
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (6)
EQ blend with level jump
A slightly noticeable jump in volume as the new track takes over.
Long EQ blend
Smooth handover of percussive elements, maintaining energy.
Long EQ blend
Perfectly executed handover of the low end.
Phrased vocal blend
Vocal elements from the incoming track sit perfectly in the mix.
Long percussive blend
Seamless integration of new drum patterns.
EQ-based transition
Smooth handover of the low-end frequencies.
Technical subscores
79
EQ balance
87
Beat alignment
78
Energy control
88
Tempo stability
78
Loudness control
80
Musical coherence
82
Harmonic compatibility
82
Transition cleanliness
Measured (DSP)
15 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
156 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
3,734
Boundaries detected
Points where the audio changes track or section.
23
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
13
Clipping events
Moments where the recording hits the ceiling and distorts.
708
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× (4:22, 26:20).
Long static loops (5×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (15:00, 28:30, 31:00, 34:15, 46:00). Long loops kill dancefloor momentum.
Timeline
- 1:15Atmospheric Hook
- 4:22Level Jump
- 13:45Groove Lock
- 19:15Energy Plateau
- 24:30Groove Lock
- 29:15Vocal Entry
Coaching notes
- Refine gain matching to avoid noticeable level jumps during transitions.
- Experiment with more creative EQ work to further blend the eclectic track choices.
- Continue to lean into the unique, narrative-driven selection that defines your style.
- Use more aggressive high-pass filtering during transitions to create 'air' before the next track drops.
- Experiment with layering acapellas to add a unique signature to the vocal sections.
- Vary the transition lengths; while long blends work well, a few shorter 'cuts' could add needed surprise.
- Use subtle delay or reverb throws on vocal tails to smooth out transitions.
- Experiment with 'teasing' the incoming track's melody earlier in the blend.
- Vary the transition lengths to keep the listener guessing.
- Focus on high-frequency EQ management to ensure the mix stays crisp during dense layers.
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 Bell Towers's In-Store 006 - BELL TOWERS get?
- In-Store 006 - BELL TOWERS scores 73/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
- How long is In-Store 006 - BELL TOWERS?
- The analysed recording runs 1h 03m.
- Which part of the mix scores best?
- TECHNIQUE is the strongest category at 85/100, while SURPRISE is the lowest at 71/100.
- 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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