Signal Analysis Engine // ONLINE

Deterministic Audio Analysis.
Every deviation explained.

Mathematical deviations from ITU / EBU / AES standards only.
No inference. No estimation. No black boxes.

Zero-Knowledge
No IP Training
Bit-Perfect Analysis
Deterministic DSP · No generative AIv2.4.0_STABLE
01
PCM DecodeITU-R BS.1770-4

K-weighting applied to raw PCM stream. Integrated loudness via gating algorithm.

02
Spectral + DynamicsEBU R128

Welch-method PSD across 32 bands. Cosine similarity clash matrix. ±0.1 dB precision.

03
Deterministic ReportAES67

Composite score S=Σ(wk·mk). Priority actions ranked by severity. Zero inference.

AUDIT_REPORT // ANALYSIS_RESULTS
Example Track
Original Master — Pre-Analysis
0:003:34
Readiness Score
0/ 100
Almost Ready
Loudness
28/40
Dynamics
14/20
Spectral
18/25
Stereo
12/15
Priority Actions
1C3W
criticalReduce integrated loudness by ~3 dB — currently too hot for streaming normalization.
warningBass is too wide below 120 Hz — apply low-pass on the Side channel below 100 Hz.
warningPresence dip at 3–5 kHz is reducing vocal intelligibility.
Streaming Targets
Spotify-14 LUFS
-4.8 dB
Apple Music-16 LUFS
-6.8 dB
YouTube-14 LUFS
-4.8 dB
Tidal-14 LUFS
-4.8 dB
Amazon Music-9 LUFS
CLIPS
LOGIC ENGINE // SIGNAL INTELLIGENCE

8-Module Technical Schematic

Deterministic, bit-perfect analysis. Every module outputs an explicit dBFS deviation against an open measurement standard. No inference. No estimation.

ITU-R
EBU R128
AES-17
AES67
MOD_01 // FREQUENCY_MASKING

Frequency Masking

Clash MatrixDetecting
KickBassVocalSynth
Kick
--
Frequency Clash
Kick × Bass
Stable
Kick × Vocal
Stable
Kick × Synth
Bass
Stable
Bass × Kick
--
Stable
Bass × Vocal
Stable
Bass × Synth
Vocal
Stable
Vocal × Kick
Stable
Vocal × Bass
--
Frequency Clash
Vocal × Synth
Synth
Stable
Synth × Kick
Stable
Synth × Bass
Stable
Synth × Vocal
--

Cosine-similarity clash matrix between spectral vectors. Identifies destructive interference in the Kick/Bass relationship.

MOD_02 // SPECTRAL_AUDIT

32-Band Spectral Audit

Humps & Holes Detection / 64-band FFT
+60-6-12301003001k3k8k16k
Cut -3dB250Hz / Q 1.5
Boost +2dB3kHz / Q 2.0
Shelf -1.5dB8kHz / Q 0.7

Welch-method power spectral density across 32 critical bands. Pinpoints humps, holes, and resonances with ±0.1dB precision.

MOD_03 // STEREO_COMPLIANCE

Stereo & Mono Compliance

Phase Correlation
-1-0.50+0.5+1
+0.72
CORRIN PHASE
Stereo Width by Band
Sub20–80 Hz
12%NARROW
Bass80–250 Hz
34%
Low Mid250–800 Hz
61%
Mid800–2k Hz
71%
Hi Mid2–6 kHz
77%
High6–20 kHz
78%

6-band L/R correlation profiling. Verifies translation from club PA systems to mono mobile devices.

MOD_04 // MASTER_BUS_ANALYTICS

Master Bus Analytics

Loudness Meters
True Peak
-14 LUFS
0% Peak
L
0% Peak
R
0% Peak
M
0% Peak
S
-14.2LUFS-I
8.4Crest dB
Master Bus Crush

Crest factor differential between drum transients and mix ceiling. Detects bus crush with sub-millisecond precision.

MOD_05 // READINESS_INDEX

Mix Readiness Index

0Readiness
Loudness
Dynamics
Spectral
Stereo

Composite 0–100 score from four deterministic pillars: Loudness 40%, Spectral 25%, Dynamics 20%, Stereo 15%.

MOD_06 // PRIORITY_ACTION

Priority Action Engine

Priority Queue0/4 resolved
True Peak exceeds -1dBTPcritical
FIX ›Apply -0.8dB gain reduction on master bus limiter
Low-end masking: Kick vs. Bass at 80Hzcritical
FIX ›High-pass bass at 60Hz, cut kick -2dB at 80Hz
Vocal sibilance peak at 6.2kHzwarning
FIX ›De-ess with dynamic EQ, -3dB narrow cut at 6.2kHz
Stereo width narrow below 200Hzwarning
FIX ›Confirm mono-below-200Hz is intentional for club playback

Categorical deviation list sorted into CRITICAL / WARNING / INFO tiers. Every flag tied to a specific dBFS threshold.

MOD_07 // GENRE_BENCHMARK

Genre Benchmarking

Stem BalanceUnbalanced
VocalsDrumsBassSynthsGuitarFX

Z-score comparison against mathematical fingerprints of 172 successful commercial releases across 15 genres.

MOD_08 // VERSION_TRACKING

A/B Version Tracking

A/B ComparisonDrag slider to compare
v2Current Mix
LUFS-I-14.1
True Peak-1.2 dBTP
Stereo Width68%
Low-end Mask0 clashes
Health Score92
v1Initial Import
LUFS-I-11.2
True Peak-0.3 dBTP
Stereo Width42%
Low-end Mask3 clashes
Health Score54

Quantitative delta overlay between current and previous iterations. Tracks regression and improvement per metric.

All modules verified · No black-box scoring · Open signal-path metrics[UPLOAD_TRACK →]
VALIDATION // OPEN STANDARDS

Formula Verification

Every metric emitted by the analysis engine is deterministic and verifiable against open measurement protocols. No proprietary black-box scoring.

ITU_STABLE
EBU_STABLE
AES_STABLE
ITU-R BS.1770-4

Loudness & True Peak

The global standard for broadcast and streaming normalization.

Deterministic_Path_Verified
EBU R128

Integrated Program Loudness

Standardized measurement of perceived loudness and loudness range (LRA).

Deterministic_Path_Verified
AES-17

Inter-Sample Peak Accuracy

Precision peak detection using Whittaker-Shannon interpolation protocols.

Deterministic_Path_Verified

Your Music. Your Privacy.

MixAudit does not rely on generative AI or model training. Your music is analyzed using deterministic audio methods — not fed into training pipelines, not reused, not stored for learning. You stay in control.

MixAudit is built on transparent, deterministic analysis.
Here’s exactly how we handle your audio:

No Model Training

Your audio is never used to train machine learning models. We don’t build datasets from your work.

No Long-Term Storage

Files are analyzed in-session and automatically purged. We don’t keep your stems or mixes on our servers.

No Generative AI

MixAudit uses deterministic signal analysis — math, not neural networks. Every result is explainable and reproducible.

You Keep Full Ownership

We never claim rights to your uploads. Your intellectual property remains yours.

DECISION MATRIX // METHODOLOGY

Pure Signal vs. Generative AI

A deterministic engine is not an opinion. Every output is a mathematical measurement against an open standard. Generative AI cannot make that claim.

DIMENSION
PURE SIGNAL (DETERMINISTIC)
GENERATIVE AI (PROBABILISTIC)
Logic Basis
Fixed Mathematical Rulesets
Probabilistic Neural Inference
Reproducibility
100% (Bit-Perfect: same input = same result)
Variable (Stochastic Hallucination)
IP Privacy
No Model Training. Files auto-purged post-analysis.
Cloud Data Harvesting. Audio used to retrain models.
Transparency
Open Signal-Path Metrics. dBFS deltas shown.
Black-Box Processing. No audit trail.
Integrity
Measures Your Intent. Math cannot editorialize.
Replaces Your Intent with model bias.
Latency
Deterministic Runtime: O(N log N)
Model Inference Lag: unbounded
MixAudit operates exclusively on column AMETHODOLOGY_v2.4_STABLE

Improve Every Mix

Less than the cost of a plugin. Better feedback than guesswork.

MixAudit Pro
$15/month

$15 / month

  • See exactly what to fix
  • Learn why it needs fixing
  • Stay in control of your mix
  • No AI auto-mixing
  • No model training on your music

First song free.

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