Analog Music Datasets for AI Training
100 Years of Analog Sound, Machine-Ready
Sonic Atlas provides legally cleared, hardware-verified analog music datasets designed for AI training, machine learning, and generative audio models.
Two-Layer Dataset Architecture
Golden Sessions are Sonic Atlas's core dataset units — hardware-verified analog music datasets sourced from fully owned 1-inch and 2-inch master tape archives spanning the early 1950s through the mid-2000s.
Each Golden Session is structured as a complete, machine-ready dataset, delivering two layers derived from a single source recording. Together, these layers provide both structural multitrack stem data and real-world analog signal behaviour — the characteristics that digitally-native datasets cannot replicate.
EACH GOLDEN SESSION DELIVERS:
- Up to 120 individually mastered stems per session
- 24 primary phase-aligned multitrack stems (Layer 1)
- Analog variation processing through real iconic hardware (Layer 2)
- Full variant matrix — varispeed, pitch transposition, key-mapped, and time signature variants
- Full legal clearance, chain of custody documentation, and contractual indemnity
- Delivered in WAV or AIFF to your specification — machine-ready on arrival
The Problem We Solve
Most AI Music Datasets Are:
• Legally ambiguous — scraped data introduces litigation risk
• Digitally native — lacking real-world harmonic complexity and signal behaviour
• Poorly documented — no signal path metadata or reproducibility
AI models require training data that reflects real-world recordings. That Means Analog.
OUR Two-Layer System
Every Golden Session delivers two complementary data layers from a single source recording.
-
Each session delivers a complete multi-reference dataset at 96kHz/24-bit minimum:
- 24 individually mastered, phase-aligned discrete stems per session
- Nominal transfer — stems captured at source playback speed, phase-coherent and ready to ingest
- Varispeed variants — 4 playback speed variants per stem (-5%, -2.5%, +2.5%, +5%), delivering temporal learning variance without pitch-anchoring artifacts
- Pitch transposition series — chromatic transpositions re-processed through hardware via analog capstan adjustment, preserving harmonic saturation at each transposition point
- Key-mapped variants — session material re-referenced to target keys per partner specification
- Time signature variants — rhythmic re-segmentation across multiple metre references, delivered with MusicXML and aligned MIDI per variant
- Isolated stem exports — fully discretised single-instrument outputs for instrument-specific model training
- 96 mastered stem outputs per session at standard configuration (24 stems x 4 speeds)
-
Every Layer 1 stem is re-processed through a configurable chain of iconic studio hardware:
- Studer A80 → Studer B67 → 48-channel Neve console → discrete compressor, EQ, reverb, and effects stages → recaptured at source specification
- Captures harmonic distortion profile, tape saturation curve, valve compression transient response, and physical modulation behaviour of each hardware stage
- Physical signal transfer — not DSP simulation, not plugin approximation
- Signal path configurations built to the specific timbral or model-training requirements of each partner
- Adds 24 individually mastered stems per signal path configuration
- Combined with Layer 1: up to 120 mastered stems per session at a single Layer 2 path
- All Layer 2 stems are individually mastered and delivered in WAV or AIFF to partner specification
Data Format & Deliverables
Component Specification
Audio96 kHz / 24-bit WAV
MIDI Aligned to audio
Tempo/Key BPM and key tags
Metadata JSON schema per asset
Score MusicXML symbolic notation
OUR LIBRARY Archive Scale
Metric Count
Master Tape Reels 2,500+
Cleared Catalog (original music, 1980+) 500+ sessions
Sampling Libraries Fairlight CMI, Akai, EMU — from 1988
Mastered Stems per Session (primary) 24
Layer 1 with Full Variant Matrix 96 stems per session (24 x 4 speeds)
Layer 2 Addition +24 stems per signal path
Total per Session Up to 120 mastered stems
Total Stem Assets 150,000+
Temporal Range Early 1950s – mid-2000s
Licensing Status Fully licensed with legal indemnity
Licensing Tiers
Golden Sessions are delivered through flexible licensing tiers designed to support different stages of AI model development and deployment.
-
Entry access to the multitrack stem archive. 24 mastered stems per session, full variant matrix, complete session package. Exclusivity available.
-
Expanded volume at increased delivery cadence. Full variant matrix. Priority scheduling. Exclusivity available.
-
Iconic analog hardware variation engine applied to Layer 1 stems. Signal path built to your specification. Adds 24 mastered stems per session per signal path configuration.
-
Full archive access. Custom volume, variant and signal path specification. Sampling library integration. Exclusivity preferred. All terms by proposal.
All tiers include fully owned, legally cleared datasets with documented provenance. Sonic Atlas provides contractual indemnity against third-party rights claims, ensuring legal certainty and protection for AI training and deployment.
Why Sonic Atlas
Physical ownership of 2,500+ original 1-inch and 2-inch master tape reels — not digital reconstructions. A finite, irreplaceable primary source spanning the early 1950s through the mid-2000s.
Hardware-verified audio capturing real-world signal behaviour — tape saturation, harmonic distortion, valve compression, and analog modulation through the same hardware that made the original recordings.
Up to 120 individually mastered multitrack stems per session — not raw recordings — ensuring consistency, tonal balance, and production-grade inputs across every training dataset.
Full variant matrix per session — varispeed, pitch transposition, key-mapped, and time signature variants — providing the temporal and harmonic range required for robust model training.
Analog sampling libraries from Fairlight CMI, Akai, and EMU — from 1988 — processed through the same hardware pipeline and delivered in identical session package format.
Documented signal paths, hardware provenance, and structured JSON metadata enabling reproducible and scalable model development.
Every dataset fully licensed and contractually indemnified against third-party rights claims. No independent audit required on your side. The legal infrastructure is ours to maintain. The data is yours to deploy.
Scalable dataset architecture — multiple training datasets generated from the same source material through layered analog processing, each individually mastered and machine-ready.