Design of Music Audio Rhythm Recognition Algorithm Based on Feature Extraction Algorithm

The research of music recognition started as early as 1970s. The appearance of computer has promoted the improvement of modern electronic music technique. Computer simulation to realize human perception of music emotion has become an active research topic of many scholars. Its purpose is to design a computer algorithm, which can automatically abstract some signals from music to express human feelings about music. Compared with the simple beat process of human beings, it is difficult for computers to accurately extract the rhythm of music. At present, in the domain of intelligent rhythm detection, many researchers have proposed various algorithms. The method adopted in this paper is feature extraction algorithm. The audio content is windowed in advance, and a data frame can be obtained after each windowing. After the content of the data frame is calculated, the window is moved back a certain distance, and the characteristics of the shifted data frame are calculated. The process is repeated until all the audio data are calculated. Through the research in this paper, this algorithm can effectively identify the rhythm of music audio.