This survey explores the symbiotic relationship between Machine Learning (ML) and music,
focusing on the transformative role of Artificial Intelligence (AI) in the musical sphere …

Recently, there has been a surge in Artificial Intelligence (AI) tools that allow creators to
develop melodies, harmonies, lyrics, and mixes with the touch of a button. The reception of …

This paper has two different aims: presenting the problem of target-based computer-assisted
orchestration and introducing a new computational framework to solve it, called Orchidea …

In musical compositions, identifying critical points that reveal atypical and unexpected
decisions is valuable from a compositional perspective as these points arguably contribute …

This paper presents a critique of the ubiquity of boilerplate quantizations in MIR research
relative to the paucity of engagement with their methodological implications. The wide …

Making Orchestras Speak / Making Machines Listen Page 1 1 The Society for Music Theory
Podcast Making Orchestras Speak / Making Machines Listen Landon Morrison (Harvard …

The automatic classification of multi-instruments plays a crucial role in providing services for
music retrieval and recommendation. This paper focuses on automatic multiinstrument …

Music resources are characterized by quantization, diversification and complication. With the
rapid increase of the demand for music resources, the storage of music resources is very …

Las prácticas creativas basadas en cognición ecológica conforman una de las líneas
consolidadas dentro de la investigación en música ubicua (ubimus). Su fuerte relación con …

Physical models of musical instruments offer an interesting tradeoff between computational
efficiency and perceptual fidelity. Yet, they depend on a multidimensional space of user …