Objective
The sensation of rhythm in music is evoked by accents that follow a more or less regular structure in time. This structure takes the shape of a rhythm hierarchy consisting of note onsets, the pulse of a piece, rhythmic patterns, and, finally, the units of the musical form. Many computational analysis methods concentrate on one level of the rhythm hierarchy in isolation, and ignore the importance of melody for rhythm. This project proposes a Bayesian framework for the analysis of rhythm, which takes into account the relations between the hierarchy levels, and the impact of melody on rhythm.
Most current approaches are further limited in their universality, because they are tailored towards certain paradigms of Western music, such as the well-formedness of meter. By analyzing music which contradicts common paradigms, we aim at a set of analysis tools that gives us access to a wider variety of music. The developed methods will be evaluated on Western and on non-Western music, which will ensure the universality of the proposed methods.
This project will contribute directly to the state-of-the-art in Music Information Retrieval (MIR), an area with growing economic impact. The proposed methods will permit implementing novel computer-based learning and music recommendation platforms for types of music that currently cannot be analyzed by the state-of-the-art. Geographical location and chosen musical context maximize the direct economic impact of such learning and retrieval platforms. The project will profit from a wide variety of expertise. The fellow is a specialist in rhythm analysis, and the host institution has high expertise in Bayesian rhythm modeling and machine learning, consultants of the project are experts in musicology and melodic analysis of non-Western 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.
- natural sciences computer and information sciences artificial intelligence machine learning
- humanities arts musicology
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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.
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.
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.
FP7-PEOPLE-2012-IEF
See other projects for this call
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.
Coordinator
34342 Istanbul
Türkiye
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.