Associate Professor Shinichi Yamagiwa of the University of Tsukuba and Associate Professor Yoshinobu Kawahara of Osaka University (at the time of research) have succeeded in developing an artificial intelligence technology that can quantify the sensibilities of music felt by humans and compare the similarities of performances numerically.

 Judgment of musicality is usually based on differences in performance techniques such as articulation (separating tunes in a phrase and giving shape and meaning), dunamic (dynamics), and phrasing (how to cut a phrase). It is done by.If these criteria can be quantified, it will be possible to digitize sensibilities and become the basis of new communication methods.However, until now, computers have not been able to recognize and understand these elements.

 This research group has continued research with the aim of developing artificial intelligence technology that allows computers to recognize differences in performance and express them numerically with respect to the human sensibilities of "musical expression."And this time, by digitizing the piano performance with a standard called MIDI (Musical Instruments Digital Interface) and capturing it, and taking the difference from the performance data according to the standard score, the difference in performance expression that people feel is quantified. I found out what I could do.As a result, it became possible to quantify the sensibilities that a person feels "the atmosphere is similar" and to make a comparison that his or her performance is similar to this person.

 The research group says that the ability to quantify musical expressions will lead to new applications of artificial intelligence.For example, it is said that it will be possible to build new communication means using musical sensibilities, such as searching the Internet for people with the same musicality as oneself using performance data and creating a new community by expressing with sensibilities. ..

reference:[University of Tsukuba] Developed artificial intelligence technology to understand the sensitivity to music performance (PDF)

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