Feature Extraction Method of Piano Performance Technique Based on Recurrent Neural Network

Introduction

Piano performance carries the emotional and essential connotation of piano works, which needs to be expressed through the performer’s second creation, so as to arouse the audience’s psychological resonance. The process of piano playing fully integrates skills and emotions, and expresses and deduces the inner beauty of music. The analysis from the form of piano playing technology can provide good technical guidance and aesthetic guidance for performers. Piano playing, as a form of artistic expression, has a high degree of freedom and openness. It is not only the performance of the player’s own piano playing technology, but also the embodiment of the player’s second creation of piano music works, and also the manifestation of the player’s pursuit of art. Different from other ways of playing, piano playing has strict technical requirements. Specifically, playing requires not only the expression of the performer’s basic psychological reflection on the music, but also the expression of the performer’s aesthetic feelings on the music works (Raghuwanshi et al., 2019). Therefore, in order to obtain the perfect performance effect, we must deeply grasp the connotation of piano performance technology. Piano playing technique refers to the whole process of expressing the music symbols of music score with real songs. In this process, the piano player will convey the emotion, attitude and values to the audience. Therefore, the performer realizes his own second artistic creation through piano playing technology. Piano performance technology is the performer’s deep understanding and accurate interpretation of artistic works. A piano concerto is a form of a symphony that is created for a pianist and is often supported through orchestras or another big group in the traditional music styles. Piano concertos are often virtuoso showcases that need a high level of technical proficiency on the device. Several sectors, particularly student learning as well as computerized behavior modeling, are interested in the quantitative assessment of piano playing. The intricate qualities of free concerts, in which the performer's professional capabilities are exhibited in harmony with his or her personal perception of the piece, make a systematic estimate of a piano performance extremely challenging. Piano playing technology is reflected on the surface through the coordinated movement of the player’s fingers and other parts. Therefore, piano playing technology is not only in the scope of music performance, but also in the scope of sports science. Piano playing technology can be implemented perfectly by effectively controlling the change of timbre and music (Zhang et al., 2019).