Objective
This project lies in the interdisciplinary field of Music Information Retrieval (MIR). The objective of the project is the development of innovative technologies for enabling access to the immense amount of audio music collections that are available on the Web. Bringing together efforts from speech and signal processing, statistical modeling, musicology and machine learning, we seek to build efficient models that allow the automatic extraction of musical content information from audio signals. We will develop innovative statistical approaches capable of processing information on multiple semantic levels. We will develop a fully-probabilistic model that consists of a single, multi-faceted hierarchical musical structure that is jointly estimated from the music, and that is capable of directly describing the epistemic uncertainty that arises from the effects of the adverse environment in audio music. Concepts from the missing feature theory, which have been applied in robust automatic speech recognition technology, will be integrated to improve the robustness of the MIR algorithms.
The objectives and methodologies match the interdisciplinary research profile of the experienced researcher. The high degree of expertise of the two host organizations, both in MIR and Signal and Speech Processing, makes this ambitious project highly feasible. It will also ensure that the experienced researcher will acquire high-level complementary skills that will be fruitful for her research career development in Europe.
This interdisciplinary project is a very exciting challenge, and, as the work is disseminated, we expect that it will place European MIR research in a leading position for years to come.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering signal processing
- natural sciences mathematics applied mathematics statistics and probability
- 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-IOF
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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
75794 Paris
France
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.