Audio Separation Lab¶

Summary¶

The Audio Separation Lab is a local audio processing project focused on separating music tracks into usable stems for practice and experimentation.

The project connects music, local tooling, self-hosting, and practical workflow design.

Problem¶

Musicians often need isolated parts, practice tracks, and flexible ways to work with audio. Web services can help, but local tools provide more control over processing, storage, and workflow.

Approach¶

The lab is designed around a simple musician-focused process:

Upload or select a track.
Run local audio separation.
Generate stems.
Review the output.
Use the result for practice or analysis.
Keep the process repeatable.

Tools and Concepts¶

Python
Flask / FastAPI concepts
Docker
Unraid
Audio separation tools
Local processing
GPU-assisted processing concepts
Music practice workflow design

What This Demonstrates¶

Local application deployment
Audio workflow design
Self-hosted processing
Practical Python tooling
Creative technical problem solving
Connecting personal interests with technical builds

Outcome¶

This project demonstrates the ability to build useful local tools around a real workflow instead of relying only on third-party services.

Screenshot Opportunities¶

Screenshot	What It Proves
Upload/interface page	Shows user workflow
Processing status	Shows application behavior
Output stems/files	Shows useful result
Container view	Shows deployment
Practice workflow example	Shows real-world use

Screenshot Folder¶

Save screenshots here:

docs/assets/images/projects/audio-lab/

Recommended filenames:

interface.png
processing-status.png
output-stems.png
container-view.png
practice-workflow.png