SOURCEHuman Performance
ALIGNMENTAudio + MIDI
LAYERHuman Annotation
Human Performance · Structured Music Data · AI

MUSIC
BIGDATA

Real musicians.
Real performances.
Better data.

MusicBigData is developing professional music datasets built from real performances, studio recordings and human musical expertise — structured for artificial intelligence, machine learning, research and music technology.

Audio Multitracks Stems MIDI Annotations Metadata Performance Data
Why this data

A recording contains more information than the notes that were played.

Timing, dynamics, articulation, phrasing, velocity, tuning, microtiming, interaction between musicians, instrument character, room response and production decisions are all part of a real musical performance. MusicBigData is being designed to preserve and describe those relationships rather than reducing music to an anonymous audio file.

Dataset architecture

From studio performance to machine-readable music.

01 / AUDIO

Human Performance

Professionally recorded performances created by real musicians and engineers.

02 / MULTITRACK

Isolated Sources

Individual instruments, microphones, takes, stems and complete mixes where available.

03 / MIDI

Musical Ground Truth

Notes, timing, velocity and musical events represented in structured form.

04 / ANNOTATION

Human Expertise

Musically meaningful labels created and reviewed by people who understand music and audio.

05 / METADATA

Context

Instrument, tempo, key, performance, recording, production and technical information.

06 / CUSTOM

Dataset Production

Purpose-built recordings and annotations created for specific AI and research requirements.

Professional pipeline

Not scraped.
Produced.

01
Source Identify suitable owned, commissioned or properly licensed musical material.
02
Prepare Organize performances, takes, multitracks, stems and associated assets.
03
Align Connect audio with MIDI, timing and structural musical information.
04
Annotate Add musical, performance, recording and production metadata.
05
Verify Human review and technical quality control before dataset release.
06
Deliver Structured datasets prepared to match research or model-training requirements.

Human music.
Structured for machines.

MusicBigData.com is currently in development as a B2B music-data platform for AI companies, research teams and music-technology developers requiring professionally produced, structured and human-informed training data.