  Music generation has always been a hot topic. When discussing symbolic music,
melody or harmonies are usually seen as the only generating targets. But in
fact, playing techniques are also quite an important part of the music. In this
paper, we discuss the playing techniques generation problem by seeing it as a
tagging problem. We propose a model that can use both the current data and
external knowledge. Experiments were carried out by applying the proposed model
in Chinese bamboo flute music, and results show that our method can make
generated music more lively.
