Objective
Music is an art form with a very long history, and continues to engage millions of people today. Music Information Retrieval (MIR), the exciting interdisciplinary science that brings together music and computer science, is a growing field of research with the potential to enrich computer science knowledge while creating real-world applications that everyone can benefit from. While the marriage of art and science is often troublesome, MIR has the benefit that many aspects of music are highly structural and have been subject to formalisation for a long time. Formalisation and computers go hand in hand, and MIR researchers have therefore been developing models of musical structure for many years, and putting them to use in several applications. However, such models, so far, have had limited impact; they're commonly restricted to one specific aspect of music, can be hard to implement computationally, and are often too technical to be used directly by musicologists who are not familiar with programming details.
However, models are valuable. Unlike machine learning approaches, model-based MIR provides a real insight about the underlying structure, and can benefit from the input of musicologist experts. Furthermore, a single model can be applied to multiple important MIR tasks. The research goal of this project is thus to give musical models the impact they deserve, advancing the practical embodiment of hierarchical musical structure-in its various forms-in computer science through the development of new, functional Models of Structure in Music (MoStMusic). Specifically, I intend to develop functional models of musical form, melody, and harmony that enable an easy, fast, and flexible way of creating model-enhanced MIR applications. As a showcase of such an application, I will create an online music analyser that automatically computes the structure present in a user-submitted piece, and displays it in an interactive interface that highlights the structural shape of music.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- humanities history and archaeology history
- natural sciences computer and information sciences artificial intelligence machine learning
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Keywords
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)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
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.
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
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.
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.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2014
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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.
3584 CS Utrecht
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.