Audio processing pipelines

Audio Data Engineering

Turning sound into modular systems. Specializing in automated audio processing pipelines and asset packs for stem isolation, MIDI transcription, and metadata analysis.

Explore SystemsView Asset Packs
BUILT BY SOFTWARE ARCHITECT ROBERT GAJEWSKI52° 13′ 14″ N / 21° 00′ 42″ E
pipeline_telemetry.sys● LIVE
AI music creator waveform visualization
STEM
ISOLATIONMIDI
TRANSCRIPTIONMETA
ANALYSIS
01 / Core engineering values

Methodical system architecture

Functional, utilitarian systems grounded in reproducibility, continuous optimization, and modular design.

01

Input

WAV / MP3

raw session files

02

Processing

Python 3

Demucs · Basic Pitch · WhisperAI

03

Output

MIDI / STEMS

metadata.json

ENVIRONMENT
python 3.11venvlinuxdocker
reproducible by default
02 / Selected outputs

Use cases & asset packs

Small, focused systems built to move ideas from a session into a usable library.

AP-001
A M B I E N T

Analog Modular Ambient to MIDI

42 files · 128 BPM · WAV / MIDI

AP-002
R I F F S

Progressive Metal Riff Transcription

18 files · 7/8 — 13/8 · MIDI

AP-003
S T E M S

EDM Stem Isolation

64 files · 24-bit · STEMS

03 / Operating system

Systems over spectacle.

I approach audio as a systems problem: map the signal, isolate the variables, automate the repeatable, and leave room for the human decision.

Continuous optimization is the practice. Shipped beats perfect. Every long-distance workout is a field test — the daily source of auditory research, pattern recognition, and new constraints.

BUILD / MEASURE / SHIP
04 / Open channel

Let’s build something useful.

Have an audio workflow that needs to become a system? Send a note.

Messages go to robert.gajewski@o2.pl