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polifonia project full details

Champion: Enrico Daga
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Participant(s):Paul Mulholland, Simon Holland, Enrico Motta, Helen Barlow, Trevor Herbert, Naomi Barker, Paul Warren, Jason Carvalho

Similar Projects:FindLEr,

Timeline:01 Jan 2021 - 01 Apr 2024

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Polifonia

A digital harmoniser of European musical heritage

Polifonia, a new 3M€ project funded by the EU Horizon 2020 Programme will run for the next 40 months to recreate the connections between music, people, places and events from the sixteenth century to the modern-day. These findings will be available to everyone as an interconnected global database on the web and will enhance our understanding of European musical heritage.

With the help of Artificial Intelligence, Polifonia will analyse sounds, texts and musical scores to recreate the history of European musical heritage through people, events, languages, and places.

Polifonia will help scholars in studying how music changed and reacted to the social and political environment over the past six centuries, providing a vast resource to uncover these phenomena, systematically: a knowledge graph - a network of interconnected data from all the main musical heritage sources with one single point of access. The Polifonia consortium is an interdisciplinary team of passionate researchers and music lovers: computer scientists, anthropologists and ethnomusicologists, historians of music, linguists, musical heritage archivists, cataloguers and administrators, and creative professionals.

Partners
  • Alma Mater Studiorium University of Bologna (IT
  • Coordinator)
  • The Open University (UK)
  • King’s College London (UK)
  • National University of Ireland Galway (IE)
  • Ministero per i Beni e le Attività Culturali e per il Turismo (IT)
  • Centre National de la Recherche Scientifique (FR)
  • Conservatiore National des Arts et Metiers (FR)
  • Stichting Nederlands Instituut Voorbeeld en Geluid (NL)
  • Koninklijke Nederlandse Akademie van Wetenschappen (NL)
  • Digital Paths srl (IT)

News

19 Oct 2023

Nancy Pontika


02 Jun 2023

Jane Whild


16 Nov 2022

Enrico Daga


24 Oct 2022

Jane Whild


16 Sep 2021

KMi Reporter


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Microsoft Research Cambridge

Actions and their Consequences: Implicit Interactions with Machine Learned Knowledge Bases

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