Affiliation:
1. School of Music, Guiyang University, Guiyang, Guizhou
Abstract
Saxophone playing is also a complex process of mental activity. In the learning process of saxophone performance, it is necessary to understand the role of psychological factors in saxophone performance on physiological factors, correctly understand the fluctuations in performance during practice, and remove various psychological obstacles during practice. This article uses clustering method to extract and analyze performers’ mental state. At the same time, based on the existing clustering evaluation indicator, a new evaluation indicator is proposed, which solves the problem that the original evaluation indicator is not applicable to non-convex data sets. In addition, this paper uses intelligent algorithms to extract the mental state characteristics of saxophone players, and on this basis, constructs an intelligent system with music education psychology to improve the mental state of saxophone players and stage performance effects. Finally, this paper analyzes the system performance after constructing the system with algorithms. The research results show that the system constructed in this paper has a certain effect.
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Cited by
2 articles.
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