Quantitative Analysis and AI Assessment of Piano Performance Techniques

Applied Mathematics and Nonlinear Sciences, Год журнала: 2025, Номер 10(1)

Опубликована: Янв. 1, 2025

Abstract Piano performance is a fusion of emotion and art, which needs to be expressed by adopting superior skills, but also create the corresponding mood atmosphere comprehensively show infectious power piano performance. This paper proposes application AI recognition human bone joint movements in performance, using BP neural network realize movements. The fingering action taken as case study, bidirectional recurrent used fit relationship between pitch difference fingering. A research paradigm for hand shape was designed map discrimination into an image problem gesture evaluation, driven data knowledge shape. In this paper, 28 short scores Bach, 5 Cherny 299 7 from China Conservatory Music’s Social Art Level Examination Grade 1-3, totaling 40 scores, are collected experimental dataset. terms algorithm through verification, compared with existing annotation model consistency rate two new indicators improve effect significant, can reach 69.7%, percentage incorrect reduced 0%, irrationality 19.6% 3.87%. addition, evaluation method based on recognition, objectively describe advantages disadvantages overall results, has improving skills.

Язык: Английский

Multi-step prediction of greenhouse crop growth based on the SVR_Seq2Seq model

Smart Agricultural Technology, Год журнала: 2025, Номер 11, С. 100986 - 100986

Опубликована: Май 5, 2025

Язык: Английский