AI music startup Amadeus Code has released MusicTGA-HR, one of the world’s largest music data sets for application developers, with Roland Corporation as its first customer.
Amadeus Code, an AI music generation startup, has released MusicTGA-HR, an API for connecting to external applications with one of the largest datasets of its kind. All music in it MusicTGA-HR is royalty-free music composted by Amadeus Code’s proprietary generative AI.
Developers using MusicTGA can easily develop applications, e.g. B. the search for copyright-free music by entering text and the possibility for end users to freely score and monetize their own content.
Amadeus Code is the first MusicTGA-HR user to sign an agreement with Roland Corporation. Roland Corporation, a global manufacturer and developer of electronic musical instruments in the audiovisual products market, needed music that end-user creators could freely distribute and use as background music for their content.
MusicTGA-HR is a music composition support system patented and developed by Amadeus Code that is “capable of generating rhythm, melody and harmony”, with a music dataset of approximately 44,000 sound recordings made by humans from the AI-generated compositions and further compositions refined were captioned in natural language by professional musicians and video artists. This dataset is considered one of the largest in the world, growing by several hundred songs every month based on searches.
With the MusicTGA HR API, end users of built apps can search and download royalty-free music from natural text inputs not constrained by music terminology, and freely use and monetize it with their own content.
For example, instead of searching for music by genre like “rock” or “funk” or by technical terms like “up tempo” or “minor”, MusicTGA-HR allows users to search for music by the descriptors of what is being set to music, for example “Summer”, “Cosmetics” or “Travel”.
In addition to being used in the development phase as training data for various types of AI, MusicTGA-HR is also used in the usage phase to ensure the security of end-user content and enable monetization.