Gramosynth: Synthetische Musik‑Datasets für KI‑Training - Video-IA.net

Gramosynth — Synthetic Music Datasets for AI Model Training

Gramosynth by Rightsify provides high‑fidelity synthetic music datasets engineered for training next‑generation AI music models. Built on a vast corpus of human‑made music and updated continuously, it delivers realistic 48 kHz stereo audio, clean stems, and rich annotations for genre, key, tempo, instrumentation, mood, and more.

Why Gramosynth

• High‑Quality Audio: Professional‑grade 48 kHz stereo content suitable for production‑level research.
• Accurate Metadata: Consistent, ground‑truth‑aligned labeling across large volumes.
• Diverse Coverage: Broad styles and genres for robust, generalized models.
• API Access: Prompt‑to‑dataset workflows for rapid, repeatable generation.

Key Features

• Custom Datasets: Define genre, instruments, duration, tempo ranges, and complexity.
• Rich Deliverables: Audio (FLAC 48 kHz), stems, MIDI (optional), JSON/CSV metadata.
• Human + Synthetic Flywheel: Continual ingestion of new human music to avoid model drift and collapse.
• Licensing for ML: IP‑safe usage for commercial and non‑commercial ML training.

Use Cases

• Generative Music Models: Improve style control and audio fidelity.
• Music Information Retrieval: Benchmark key, tempo, instrument detection.
• Audio Segmentation & Source Separation: Train on clean stems at scale.
• Recommendation & Classification: Build robust tagging and retrieval systems.

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