Project description
Preserving diverse non-Western musical traditions
The rapid rise of AI and machine learning has sparked advances across scientific disciplines and delivered wide-ranging benefits to many sectors. Supported by the Marie Skłodowska-Curie Actions programme, the ANIMA project will develop an innovative AI-driven music generation system and platform that focuses on human-centred creativity and preserving and encouraging the exploration of many non-Western music systems. The project will establish and develop a microtonal music corpus and computational models focused on advanced music theory with ML techniques. The project aims to preserve different cultural and musical traditions and outlooks while providing composers with an unparalleled variety of tools.
Objective
The ANIMA (Artificial INtelligence-based Interactive Microtonal Compositional Assistant) project addresses the limitations of current AI-driven music generation systems by shifting the focus toward human-centered creativity. Unlike platforms that risk homogenizing musical output, ANIMA empowers users to engage deeply with novel harmonic structures, specifically microtonal harmony. This project explores music systems beyond traditional Western 12-tone equal temperament (12-TET), embracing 31-tone and 53-tone equal temperaments to unlock new musical possibilities and enhance compositional diversity.
The project is rooted in European academic perspectives and draws on computational modeling and machine learning to support rather than replace human agency. It builds on the ongoing work at institutions such as the MUSAiC (ERC) project, the Music Technology Group at Universitat Pompeu Fabra, and the Algomus lab at Université de Lille. ANIMA allows composers to explore expanded harmonic and melodic vocabularies with real-time interactive interfaces and data visualization to navigate microtonal harmonic spaces.
ANIMA aims to establish a microtonal music corpus and develop computational models integrating advanced music theory with machine learning techniques. This paradigm shift contributes to a broader understanding of harmony, promotes cultural diversity, and supports the preservation of non-Western musical traditions. The open-source framework also paves the way for its integration into music education, musicology, and digital humanities, with potential commercialization through collaborations with industry partners.
In summary, ANIMA is poised to revolutionize AI-assisted music composition by offering innovative tools for microtonal music exploration while maintaining the intrinsic value of human creativity.
Fields of science (EuroSciVoc)
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Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
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(opens in new window) HORIZON-MSCA-2024-PF-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
08002 Barcelona
Spain
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