  The development of artificial intelligent composition has resulted in the
increasing popularity of machine-generated pieces, with frequent copyright
disputes consequently emerging. There is an insufficient amount of research on
the judgement of artificial and machine-generated works; the creation of a
method to identify and distinguish these works is of particular importance.
Starting from the essence of the music, the article constructs a
music-rule-identifying algorithm through extracting modes, which will identify
the stability of the mode of machine-generated music, to judge whether it is
artificial intelligent. The evaluation datasets used are provided by the
Conference on Sound and Music Technology(CSMT). Experimental results
demonstrate the algorithm to have a successful distinguishing ability between
datasets with different source distributions. The algorithm will also provide
some technological reference to the benign development of the music copyright
and artificial intelligent music.
