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Whither Music?

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Exploring Musical Possibilities via Machine Simulation

"""Whither Music?"" was the motto of Leonard Bernstein's 1973 lectures at Harvard, where he analysed the (inevitable?) process that led to what he called the 20th Century Crisis of Music: the gradual decline of tonality, driven by... ver más

31/12/2026

JOHANNES KEPLER UN...

3M€

Presupuesto del proyecto: 3M€

Líder del proyecto

UNIVERSITAT LINZ No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 2 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2021-04-28

ERC-2020-ADG: ERC ADVANCED GRANT

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Cerrada hace 4 años

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No hay información privada compartida para este proyecto. Habla con el coordinador.

2 Participantes

JOHANNES KEPLER UNIVERSITAT...

2.50M€ | Lider

VERKOL

368.88K€ | Participante

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Duración del proyecto: 68 meses Fecha Inicio: 2021-04-28
Fecha Fin: 2026-12-31

Líder del proyecto

UNIVERSITAT LINZ No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 3M€

Descripción del proyecto """Whither Music?"" was the motto of Leonard Bernstein's 1973 lectures at Harvard, where he analysed the (inevitable?) process that led to what he called the 20th Century Crisis of Music: the gradual decline of tonality, driven by a takeover of tonal ambiguity in the late 19th and early 20th centuries, eventually leading to complete abandonment of tonality in Schönberg's dodecaphony. WHITHER MUSIC? is a project that aims to establish model-based computer simulation (via methods of Artificial Intelligence, Machine Learning and probabilistic modelling) as a viable methodology for asking questions about musical developments, possibilities and alternatives - for musicology, for didactic purposes, for creative music exploration scenarios. Computer simulation here means the design of predictive or generative computational models of music (of certain styles), learned from large corpora, and their purposeful and skilful application to answer, e.g., ""what if"" questions, make testable predictions, or generate musical material for further analysis, musicological or aesthetic. Making it possible to do this in highly controlled and musically 'valid' ways will require massive research on machine-learning-based music modeling, to obtain generative models that are stylistically faithful, tightly controllable, transparent and explainable - in this way advancing the field of Music Information Research (MIR). At the same time, this will open entirely new possibilities for musicological research, for music education, and for creative engagement with music, some of which will be further explored, in the form of musicological studies, didactic tools and exhibits, and public educational events. To attain this vision, we will need to thoroughly re-think the way music is modeled in AI systems. The project wants to contribute to a redirection of MIR research towards more musically informed modeling, thus eventually addressing not only the ""Whither Music?"", but also the ""Whither MIR?"" question."

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