Sound Engineering: Mix, Master and Deliver

For mix engineers, mastering engineers and technically minded producers. This path is about the audio signal and the final deliverable, not about training a generative model.

You do not need machine-learning expertise. You do need critical listening, a DAW, a reference track, appropriate meters and an agreed delivery brief.

Start with your job

If you are responsible for…	Read first	Leave with…
Translating a creative brief into a track	Producer path	Arrangement, approved take and creative notes
Repairing and balancing AI-assisted audio	Mix preparation and diagnostics	Session template, problem log and repeatable A/B test
Final loudness and Spotify-ready exports	Mastering for streaming	Measured stereo master and format checks
Rights, credits and source traceability	Provenance and release	Rights and provenance checklist
Understanding codecs, spectra or generation models	AI/DSP engineering path	Signal and model architecture reference

The sound engineer's workflow

1. Define the delivery. Ask for release destination, approved mix, stems, native sample rate, revision and references.
2. Inspect before processing. Listen once uninterrupted. Log timecodes for clipping, masking, phantom-center instability, separated-stem artifacts and truncated tails.
3. Correct the source. Prefer an edit, arrangement change, replacement recording or revised generation when processing would make the problem worse.
4. Mix with repeatable comparisons. Level-match bypass tests, automate the arrangement, check the stereo-to-mono fold-down and avoid a universal preset.
5. Master to the musical brief and delivery specification. Measure the rendered file; do not infer its true peak or loudness from the live DAW meters.
6. Verify and archive. Export at native resolution when accepted, audition encoded previews, check metadata and preserve source/provenance records.

A reference chain—not a fixed preset

Approved source or aligned stems
        ↓
Technical edit and gain staging
        ↓
Corrective EQ / source repair (if needed)
        ↓
Dynamics and spatial balance (if needed)
        ↓
Automation and level-matched comparison
        ↓
Mix export + measured pre-master
        ↓
Mastering, true-peak check and listening QC
        ↓
Lossless delivery + version/provenance records

Do not treat AI-generated audio as inherently defective. Diagnose the audible problem first. Editing, stem separation, equalization, multiband processing and limiting can all be useful; unnecessary processing can also damage a good result.

Handoffs between roles

• The producer approves the musical direction, arrangement, vocal intent and reference aesthetic.
• The sound engineer owns technical integrity, balance, measurable delivery constraints and reproducible QC.
• The AI/DSP engineer studies or builds representations, models, evaluation systems and tooling.

Those responsibilities often overlap in small teams; the documentation separates decisions so readers can find the right depth.

Continue with mix diagnostics, streaming mastering or return to the producer guide.