Artificial Intelligence in Early Music Research | REPERTORIUM

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Repertorium Editorial Team
- 2 weeks ago
7th Complutense Early Music Conference

On 7 November, the Complutense University of Madrid and the ICCMU host the VII Jornada Complutense de Música Antigua (7th Complutense Early Music Conference), dedicated this year to exploring the impact of artificial intelligence in early music research.

early music
©Cristina Alís Raurich – Screenshot from Scrib.io, the platform behind Neumz and REPERTORIUM, visualizes codified music in square and Sankt Gallen notation.

REPERTORIUM, funded by Horizon Europe, will present its latest advances in AI-driven digitisation of early and classical music manuscripts and the development of immersive audio technologies that bring historical soundscapes to life. By combining musicology, digital heritage, and sound innovation, the project redefines how we study and experience early music in the 21st century.

The conference will gather leading experts in musicology, acoustic engineering, and digital humanities to discuss how AI and emerging technologies are reshaping our understanding of the musical past. With its pioneering approach to artificial intelligence and immersive sound, REPERTORIUM continues to bridge tradition and innovation, transforming the preservation and interpretation of Europe’s rich musical heritage.

📅 7 November, 9:30–14:30

📍 Faculty of Geography and History (UCM) – Sala de Grados

🎟️ Free entry until full capacity

📝 Conference Programme Highlights & Participants

The day opens with the inauguration by Dr Miguel Luque Talaván (Dean, Faculty of Geography & History), Dr María Nagore Ferrer (Director, Department of Musicology) and Dr Judith Ortega Rodríguez (representative of the conference directors).

In the first session (moderated by Dr Lluís Bertran), Dr David Rizo (University of Alicante) investigates optical music recognition and AI‑assisted transcription, while Dr Antonio Pedrero (Polytechnic University of Madrid) explores acoustic reconstruction and virtual sound environments.

In the second session (moderated by Dr David Andrés Fernández), two major research projects are presented, apart from REPERTORIUM, which is presented by Dr Cristina Alís Raurich (ICCMU):

  • ChordIA by Dr Ana Llorens Martín (UCM) and Dr Salvador Ros Muñoz (UNED)
  • RESOUND by Dr Carmen Julia Gutiérrez González and Dr Francisco Camas (UCM / ICCMU)

The scientific coordination of the day is handled by Dr David Andrés, Dr José María Domínguez and Dr Judith Ortega (UCM Musicology Department), together with Dr Lluís Bertran (ICCMU).

The images show the participants, researchers in musicology, acoustic engineering, and artificial intelligence during the VII Complutense Early Music Conference.

You can access the full programme here

cartel VII jornada complutense musica antigua - Repertorium AI will revolutionise music scholarship, enhance streaming revenues, and empower musicians

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The Project

REPERTORIUM uses AI to digitise ancient and classical manuscripts, preserve European musical heritage, and create state-of-the-art sound processing technologies, including metaverse-ready immersive audio. These technologies are the foundation of a general musical artificial intelligence that fully unleashes the powers of machine learning upon the domain of European classical heritage, advancing us towards a human-centred digital world.