Research on the Recognition Algorithm of Chinese Traditional Scales Based on Decision Tree

The affective computing of music is an essential component of the music artificial intelligence field, especially those regards human-computer interaction technology, as for music mode is a crucial component of musical emotion perceptions. To be more specific, the recognition skill of scales, the music mode material remains manually used today, which endow this research a great practical significance for using the algorithm to recognizing them in high speed. This paper describes how to classify the Chinese traditional scales (CTS) and annotate the emotional colors of the Chinese traditional music (CTM) through algorithm recognition methods, based on setting up a decision tree. This algorithm-testing database consists of MIDI samples either in CTS or not, while taking three steps to determine it: sample pre-processing, decision tree classification, result verification. The experiment results show the accuracy of this cognition method on samples were non restrict to CTS. Which prove the feasibility of indirectly obtaining emotion colors through the process to identify and classify CTM based on the decision tree.