Getting Closer to the Essence of Music: The Con Espressione Manifesto
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Nov 2016.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 0; 2025: 0; 2026: 1.
3 papers.
- 2023Exploring Variational Auto-Encoder Architectures, Configurations, and Datasets for Generative Music Explainable AIcited by 4
- 2022Towards Context-Aware Neural Performance-Score Synchronisationcited by 0
- 2026Profy: Interpretable Visualization of Expertise-Dependent Motor Skills Toward Supporting Piano Practicecited by 0
- 2026Profy: Interpretable Visualization of Expertise-Dependent Motor Skills Toward Supporting Piano Practice9 Jun 2026
- 2023Exploring Variational Auto-Encoder Architectures, Configurations, and Datasets for Generative Music Explainable AI14 Nov 2023
- 2022Towards Context-Aware Neural Performance-Score Synchronisation31 May 2022