Titlebook: Handbook of Artificial Intelligence for Music; Foundations, Advance Eduardo Reck Miranda Book 2021 Springer Nature Switzerland AG 2021 Arti

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Performance Creativity in Computer Systems for Expressive Performance of Music,This chapter presents a detailed example of expressive music performance that focuses on performance creativity.

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https://doi.org/10.1057/9780230584419ty that has enabled music throughout history. Much of the act of creating new music, such as in music composition, is an effortful process that requires prolonged persistence, motivation, and dedication. However, other aspects of musical creativity, such as musical improvisation, have an appearance

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Mohammad Alauddin,Clement Tisdellnderpinnings of music processing including not only sensory perception (e.g., pitch, rhythm, and timbre) but also local/non-local structural processing (e.g., melody and harmony). This chapter reviews the neural correlates of unsupervised learning with regard to the computational and neuroanatomical

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https://doi.org/10.1057/9781137329844rampant, the fields of Artificial Intelligence (AI) and Neuroscience waited until the mid-twentieth century before gaining their current titles and credence in academia, research, and knowledge of their existence among the populace as a whole (Nilsson in The Quest for Artificial Intelligence: A Hist

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https://doi.org/10.1007/978-3-031-55444-5ays in which the brain and/or the mind works to build intelligent systems. Hence, studies in Philosophy, Psychology, Cognitive Science and more recently, the Neurosciences have been nourishing AI research since the field emerged in the 1950s, including, of course, AI for music. The Neurosciences hav

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