Journal
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
Volume 8, Issue 2, Pages -Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.1145/2899004
Keywords
MIR; music perception; musical expressivity
Funding
- Austrian Science Fund FWF (Wittgenstein Award) [Z159]
- European Research Council (ERC Advanced Grant) [ERC-2014-AdG 670035]
- Austrian Science Fund (FWF) [Z 159] Funding Source: researchfish
- Austrian Science Fund (FWF) [Z159] Funding Source: Austrian Science Fund (FWF)
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This text offers a personal and very subjective view on the current situation of Music Information Research (MIR). Motivated by the desire to build systems with a somewhat deeper understanding of music than the ones we currently have, I try to sketch a number of challenges for the next decade of MIR research, grouped around six simple truths about music that are probably generally agreed on but often ignored in everyday research.
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