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Toward the age of artificial intelligence using image analysis of music

Shigeyuki Minami · Society for Science and Technology · 2021

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In recent years, the term “digitalization” has been highlighted, and there have been many examples of artificial intelligence (AI) being applied to business. As a result of this momentum, there is growing concern about whether humans will be able to maintain their superiority over AI in the future. In this paper, as an example of the capabilities that humans can create, individual characteristics of music are clarified by imaging the sounds of various instrumental music through analysis of dynamic spectra, etc., and the contents related to the relationship between humans and artificial intelligence are examined. Also, the characteristics of music in the East and West are discussed from the perspective of natural science, which seeks to clarify complex phenomena as simple laws, and the meaning of traditional Japanese music, which is different from Western music in its aims, is discussed. A proposal for a direction in which koto-shamisen music, which has been in a slump, can be popularized in the future is also proposed. In conclusion of these discussions, we were able to reaffirm that artificial intelligence could not go beyond some aspects of human ability.

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APA 7

Minami, S. (2021). Toward the age of artificial intelligence using image analysis of music. https://doi.org/10.11425/sst.10.105

MLA

Minami, Shigeyuki. "Toward the age of artificial intelligence using image analysis of music." 2021. https://doi.org/10.11425/sst.10.105.

Chicago

Minami, Shigeyuki. 2021. "Toward the age of artificial intelligence using image analysis of music.". https://doi.org/10.11425/sst.10.105.

Harvard

Minami, S. 2021, Toward the age of artificial intelligence using image analysis of music, Society for Science and Technology, available at: https://doi.org/10.11425/sst.10.105 [Accessed 7 Aug. 2026].

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Titolo
Toward the age of artificial intelligence using image analysis of music
Autore / collaboratori
Shigeyuki Minami
Editore
Society for Science and Technology
Anno di pubblicazione
2021
ISSN
2186-4942
ISSN
2186-4942
Lingua
Inglés
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