AI music startup Amadeus Code has released MusicTGA-HR, one of the largest music data sets in the world for application developers, with Roland Corporation as its first customer.
Amadeus Code, a music generation AI startup, has released MusicTGA-HR, an API for linking with external applications with one of the most extensive data sets of its kind. All music in MusicTGA-HR is royalty-free music composted by Amadeus Code’s self-developed generative AI.
Developers using MusicTGA can easily develop applications such as searching for copyright-free music by text input and allowing end users to soundtrack and monetize their own content freely.
Amadeus Code has signed an agreement with Roland Corporation as the first user of MusicTGA-HR. Roland Corporation, a global electronic musical instrument manufacturer and developer in the audio-visual product market, needed music that end-user creators could freely distribute and use as background music for their content.
Patented and developed by Amadeus Code, MusicTGA-HR is a music composition support system “capable of generating rhythm, melody, and harmony,” with a music data set of about 44,000 sound recordings refined by humans from the compositions generated by the AI and further labeled in natural language by professional musicians and video creators. This data set is considered one of the largest in the world, growing by several hundred songs each month based on search queries.
With the MusicTGA-HR API, end users of created apps can search and download royalty-free music from natural text input that is not restricted by musical terminology and freely use and monetize it with their own content.
For example, instead of searching for music by genre, such as “rock” or “funk,” or by technical terms, such as “up-tempo” or “minor,” MusicTGA-HR enables users to search for music by the descriptors of what is being soundtracked, such as “summer,” “cosmetics,” or “travel.”
In addition to its uses in the development stage as training data for various types of AI, MusicTGA-HR also serves a purpose in the usage stage to ensure the safety of end-user content and enable monetization.