Gramosynth

Gramosynth: AI-Generated Synthetic Music Datasets

Gramosynth, developed by Rightsify, provides high-quality synthetic music datasets to accelerate AI model training. Built on Rightsify's extensive library of over 12 million human-made songs, Gramosynth helps research teams speed up data acquisition, expand dataset diversity, and lower data licensing costs.

What is Gramosynth?

Gramosynth is a collection of pretrained AI models developed by Rightsify, designed to speed up data acquisition, expand dataset diversity, and lower data licensing costs. It generates realistic, high-quality synthetic music data while maintaining the integrity of ground truth human labeling.

Why Use Synthetic Data?

AI models require vast amounts of data. Gramosynth leverages proprietary pretrained models to continuously incorporate Rightsify’s human-made music into its synthetic output through a live stream of daily uploads. This creates an ever-expanding, self-refreshing dataset that maintains ground truth by tapping directly into human creativity.

Key Features:

• High-Quality Audio Generation: Professional-grade 48kHz stereo audio with natural timbre and dynamics.
• Accurate Labeling & Metadata: Comprehensive metadata tagging for instrument, genre, tempo, key, and more.
• Diverse Musical Coverage: Wide range of musical styles, genres, and compositional techniques.
• AI-Optimized Data: Structured specifically for advanced AI music model training.

How It Works:

1. Define Requirements: Specify genre, instruments, and other parameters.
2. Generation Process: AI creates high-quality synthetic music.
3. Delivery & Integration: Access via cloud or API for seamless workflow.

Simple Integration:

Gramosynth offers an API for generating custom datasets:

// Generate a dataset with specific parameters
const response = await gramosynth.generate({
  genre: "electronic",
  duration: "10_hours",
  tempo_range: [120, 140],
  instruments: ["synth", "drums", "bass"]
});

With Gramosynth, Rightsify pioneers the frontier of AI music models through synthetic datasets, human-created collections, and intelligent licensing solutions.