Project description
AI-driven tool for music analysis and annotation
Thanks to the internet, sound recordings and musical scores are easily accessible. But connecting these two mediums for insights into performance style and artistic expression requires significant time and effort. Music scholars currently rely on general-purpose sound editing tools to annotate musical elements in recordings. However, these annotations are entered manually, and the tools do not integrate musical score information. The EU-funded PPA project aims to bridge this gap by creating an open-source software tool, the Performance Precision Annotator (PPA), designed for annotating and analysing recorded music performances. The project will empower the software with a digital musical score and a performance recording to automatically generate insightful artificial intelligence-driven annotations for note onsets, dynamics, articulations and tempo.
Objective
In the internet era, vast troves of sound recordings and musical scores have become available to virtually anyone, but drawing connections between these two mediums to develop insights about performance style and artistic expression has remained a difficult and time-consuming task. Currently, music scholars rely on general--purpose sound editing tools for annotating musical elements in recordings (such as downbeats, pitch, or note onsets); however, these annotations often must be entered manually, and these tools do not incorporate one vital element needed for analyzing recordings: musical score information. This approach can be labor intensive and inefficient, and limits the scope of the data that can be analyzed. To help address this need, we seek this fellowship to develop PPA, a prototype open--source software tool for annotating and analyzing recorded music performances, bringing innovations from the interdisciplinary Music Information Retrieval (MIR) community to scholars and musicians in the humanities. Provided with a (digital) musical score and a performance of that score, the software will automatically generate meaningful AI--driven annotations about (e.g.) note onsets, dynamics, articulations, or tempo, fully integrated with the score. With an easy--to--use graphical user interface, the software will display and visualize the score, the audio, and the selected annotations in intuitive ways designed to streamline performance analysis. Besides developing the prototype, we propose to conduct use-case studies, gathering evidence to illuminate ways PPA can be used to assist musicology scholarship, and to inform future development of the software.
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.
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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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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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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.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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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) HORIZON-MSCA-2022-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.
1030 Wien
Austria
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.