![]() In Tang Dynasty (618–907), it added to 13 strings, and in Ming Dynasty (1368–1644) and Qing Dynasty (1636–1912) it had 16 strings. In Three-Kingdom period (220–280), it had 12 strings. According to the historical records, the original Guzheng had only 5 strings. From the structure point of view, Guzheng consists of 5 parts: (1) the head of the Guzheng and tuning box, (2) Yue Shan (岳山) on which the strings are mounted, (3) the column of Guzheng that acted as the bridge for the strings, (4) the panel, on which the strings are crossed, and (5) the tail of Guzheng. Its strings are placed on the top face while the sound holes are at the bottom (not shown in the figure). Its body is a hollow box made of sycamore wood. In fact, just hearing Guzheng music, many people around the world would think of China.įigure 1 shows the picture of a classical Guzheng. Invented some 2500 years ago 1, through years of inheritance and innovation, development and improvement, it has its unique music language, playing style, as well as special identity unlike any others. Particularly, there has been no reported success in composing traditional Chinese music.Īmong various traditional Chinese musical instruments, Guzheng (Chinese Zither) (古筝) is perhaps ranked at the top in popularity. However, the success is rather limited as only a few kinds of music, such as piano music and guitar music, can be generated. There have been a number of successful attempts to use AI for music composition. In recent years, the technology of Artificial Intelligence (AI) has been greatly advanced. Music composition has always been considered as creative art that only talented musicians can master. It is well known that music has different genres and can be played using different music instruments. Music is a universal art enjoyed by all the people around the world. ![]() The presented method can also be used to automatically compose the music of other Chinese music instruments. According to the evaluations from skilled Guzheng players and general audiences, our Guzheng music is very close to the real Guzheng music. ![]() Comparing to the existing AI methods, such as LSTM and Generative Adversary Network, our new method is more effective in capturing the characteristics of Guzheng music. Next, we use the Reinforcement Learning to optimize the LSTM network by adding special Guzheng playing techniques. Second, we use these data to train a Long Short-Term Memory (LSTM) network and use the trained network to generate new Guzheng music pieces. First, we collect a number of existing Guzheng music pieces and convert them into Music Instrument Digital Interface format. ![]() In this paper we present a method that can automatically compose and play Guzheng music. Therefore, it is interesting to see whether AI can compose Guzheng music or alike. It has distinct timbres and patterns that cannot be duplicated by other music instruments. Invented some 2500 years ago, Guzheng is one of the oldest music instruments in China and the world. For a same piece of music, different music instruments would produce different effects. However, there are many music genres and music instruments. In recent years, with the advance of Artificial Intelligence, automatic music composition has been demonstrated.
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