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Neural Audio Theory

Create better music. Engineer better audio.

A hands-on learning hub with distinct routes for music producers, sound engineers, and AI/DSP developers. Make creative decisions, diagnose the audio signal, or explore the models behind it.

Create the musicMusic producerBuild a brief, craft prompts, direct performances, arrange, edit and approve the track.Shape and verify the soundSound engineerPrepare sessions, diagnose artifacts, mix, measure loudness, master and deliver.
Building AI audio systems? Explore signal processing, neural codecs, model architectures, evaluation and deployment.

Open source · role-specific guides · practical settings with context · primary sources

Inside the guide

Choose the detail level that fits your work

One knowledge base, three clearly separated workflows. Practical guides link to deeper engineering explanations when needed.

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Produce and arrange

Plan a track, write controlled prompts, select takes, direct vocals and shape the arrangement before committing to a mix.

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Mix and master audio

Prepare DAW sessions, identify masking or separation artifacts, use measured processing and validate final masters for streaming.

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Research and build AI systems

Explore waveforms, spectrograms, codec tokens, model architectures, conditioning, benchmarks and production integrations.

A connected curriculum

From a creative idea to a release-ready master​

Follow the handoff from producer to sound engineer. Start with an approved arrangement; continue through corrective listening, mixing and mastering; finish with measurable quality control and a transparent release record.

Explore the producer workflow →
See streaming mastering settings →
  1. 01DirectBrief, prompt & select
  2. 02ProduceArrange, edit & approve
  3. 03EngineerRepair, mix & master
  4. 04VerifyMeasure, credit & release