Professional vocal stems with full consent documentation, biometric data agreements, and human performance warranties. Built for AI/ML teams that need legally-cleared, high-quality singing data — not scraped audio, not speech recordings, not mixed tracks.

Every vocal is recorded by a real vocalist who has explicitly consented to AI/ML licensing.
500+
Vocal Recordings
5,000+
Individual Stems
16
Genres Covered
24
Musical Keys
60–175
BPM Range
70/30
Female / Male Split
AI music companies face a data crisis. Suno has been sued for $500M+, Udio has settled lawsuits, and the legal landscape is tightening. Speech datasets don't contain musical qualities. Stock music libraries don't provide isolated stems. There has been no legitimate source of consented singing vocal data — until now.
| Feature | The Vocal Market | Scraped Data | Speech Datasets | Stock Music |
|---|---|---|---|---|
| Isolated singing stems | — | — | — | |
| Full signed consent | — | Varies | Varies | |
| Dry + wet + harmonies | — | — | — | |
| Genre, BPM, key, gender metadata | — | — | Partial | |
| Minimal legal risk | — | Varies | ||
| BIPA + GDPR Article 9 compliance | — | — | — | |
| Genre & language diversity | Varies | — | Varies | |
| Monthly new additions | — | — | — |
The Vocal Market is a marketplace where professional vocalists upload their singing performances for sale to music producers. We have taken this existing ecosystem of high-quality, professionally recorded vocals and built an enterprise data licensing program on top of it.
Every vocalist has opted in to AI/ML licensing with full consent documentation. Every recording is a genuine human performance. Every stem is studio-quality and properly isolated.

Unprocessed recordings with no effects applied. Ideal for voice synthesis, pitch detection, and building clean training sets.
Same performances with professional processing — reverb, compression, EQ, de-essing. Perfect for effects modeling and audio processing research.
Additional vocal layers as separate stems. Adds diversity to your training data with backing vocals, ad-libs, and multi-part harmonies.
Every stem tagged with genre, BPM, key, gender, vocal type, and language. Structured data ready for ML pipelines.
Train generative models on legally-cleared singing vocals to produce original music.
Build text-to-singing or voice conversion systems with professional vocal data.
Improve source separation models with clean, ground-truth vocal stems.
Paired dry/wet stems enable supervised learning for audio effect replication.
Train pitch tracking and singing analysis systems on real vocal performances.
Use isolated stems for 3D audio research, spatial rendering, and immersive experiences.
Ethically sourced vocal data for MIR, computational musicology, and audio ML papers.
Every vocal in our enterprise dataset comes with a complete consent chain. No grey areas, no risk of litigation, no scraped content.
Vocalist Consent Agreements — signed via Jotform Sign with timestamps and audit trails
AI/ML Training Rights — explicit opt-in from every vocalist for data licensing use
Biometric Data Consent — BIPA and GDPR Article 9 compliant biometric data agreements
Human Performance Warranties — every recording is a genuine human performance
Age Verification & Sanctions Compliance — all vocalists verified
Audit-Ready Documentation — full consent chain available upon request
Our consent framework is designed for enterprise due diligence. Every agreement includes:
Reach out with your use case and requirements. We'll discuss how our dataset fits your needs.
Receive a sample dataset to evaluate quality, format, and compatibility with your pipeline.
Filter by genre, vocal type, language, or other criteria. We'll build a dataset tailored to your project.
Sign the enterprise licensing agreement and receive your full dataset with documentation.
Access new vocals monthly as our catalog expands. Your dataset grows with our marketplace.
“The quality of the vocal stems is outstanding. Clean, well-recorded, and the metadata makes it incredibly easy to build structured training sets.”
Alex D.
AI Research Lead
“Having paired dry/wet stems is a game-changer for our audio processing models. We couldn't find this anywhere else with proper consent documentation.”
Marcus T.
ML Engineer
“The consent framework gave our legal team confidence to proceed. Full audit trails, explicit AI opt-in — exactly what we needed.”
Sarah K.
Head of Data