PPA
Financiado
Performance Precision Annotator (PPA): AI-Assisted Annotation and Analysis of Mu...
Performance Precision Annotator (PPA): AI-Assisted Annotation and Analysis of Music Performance
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 expressi...
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.
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Duración del proyecto: 16 meses
Fecha Inicio: 2023-03-30
Fecha Fin: 2024-07-31
Fecha Fin: 2024-07-31
Línea de financiación: concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-07-31
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
HORIZON-MSCA-2022-PF-01-01:
MSCA Postdoctoral Fellowships 2022
Cerrada
hace 2 años
Presupuesto
El presupuesto total del proyecto asciende a
99K€
Líder del proyecto
UNIVERSITAT FUR MUSIK UND DARSTELLENDE KUNST...
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5