A Data-Driven Computational Analysis of Piano Playing Technique Evolution

As the father of musical instruments, the piano is commonly used in solo, repertoire, accompaniment and other performance processes.In the process of piano playing, the quality of its sound is closely related to the playing skills.The article analyzes the structural composition of the piano as well as the physical mechanism of sound generation, and summarizes the characteristics of the four elements of piano music, namely pitch, intensity, timbre and duration, on the mathematical basis of the twelve equal temperament laws and the vibration equations of the strings.Subsequently, we analyze the time and frequency domain characteristics of the piano's musical technique evolution, and calculate the main physical parameters that can affect the piano timbre.Finally, based on the theoretical study and characterization, the corresponding result evaluation experiments were conducted.It is concluded that by analyzing the root-mean-square and mean values of the vibration time-domain signals of piano soundboards excited at different points, it can be seen that, for different structures of piano soundboards, there are excitation points that can maximize their vibration signals.At the same time, the time-domain characteristic index crag factor is analyzed, and it is found that there is no obvious pattern in the crag factor value of the vibration signal of the soundboard with different point excitations.