In the last decade, the technologies resulting from Artificial Intelligence research, especially machine learning, have revolutionized the field, bringing exploitation opportunities and challenges that require expertise and job profiles that most companies do not have and are struggling to cover. These companies require technological solutions that can be easily integrated into their products and services, and that can be personalized to their use cases and clients.

In the MusicalAI project, we have been advancing on many research topics related to large-scale corpora and data-driven machine learning with applications to sound and music. We are developing AI-based data models to support learning, creation, production, distribution, and many other sound and music exploitation tasks that can serve as the basis for specific solutions covering most of the needs that the different sectors have.

The project “AI models for Sound and Music Application” (AISMA) builds on top of the Musical AI results, aiming to prepare our technology to be able to provide quick and flexible access to state-of-the-art technologies to a large variety of companies of any size. It will allow them to create new applications and find solutions to their problems using our technology in an agile and rapid fashion.

In contrast to the existing solutions, the project proposes to develop solutions suitable for B2B commercialization while keeping transparency, customization, scalability, continuous integration, and data licensing regulations as priorities, following the principles of open innovation.

Starting date: December 2022

Project duration: 2 years

Project reference: PDC2022-133319-I00

Funded by: MCIN/AEI/10.13039/501100011033 and for the European Union "NextGeneration EU"/PRTR