KIC

The challenge

Traditional reporting and recording of music usage can no longer keep pace with the demands of rapidly advancing digitalisation. This research project therefore aims to overcome the complexity of digital music usage with intelligent, AI-supported matching. Our approach focusses on the identification of musical works in different versions. By using AI and usage tracking in a smart contract, we create an innovative process that enables legally compliant and flexible digital licensing. Our research aims to support the music industry with an efficient and accurate system for licensing and billing.

The solution

About the research partners

With over 52,500 students, the Technical University of Munich (TUM for short) is the largest technical university in Germany in terms of student numbers. It is based in Munich. It was one of the first three universities to be included in the ‘Institutional Strategy’ funding line as part of the Excellence Initiative in 2006. It successfully defended its title as a University of Excellence in 2012 and 2019. It is part of the Bavarian Elite Network and enjoys a high academic reputation.

Research programme

This work was funded by the Bavarian State Ministry of Economic Affairs, Regional Development and Energy as part of the Bavarian Joint Funding Programme (BayVFP) – Digitisation funding line – Information and Communication Technology funding area.