Abstract
Music exists in almost all cultures, and emotional expression occupies a very special place in the nature of music. This article mainly studies piano teaching in music education majors in colleges and universities. In this paper, a rectangular window with a length of 1s, a sliding length of 0.5s per frame, and 50% overlap of the window length is used to divide each music file in the database into frames. The feature extraction and statistics are performed on the music signal in each frame respectively, and the local feature data set corresponding to the dynamic V and A annotations in the database can be obtained. When the pitch interval is 1, 2, and 3 notes respectively, the correct recognition rate of the 9 contours is very low, followed by 31%, 1.25%, 4.01%. The results show that cultural differences have a significant impact on the music perception of people with normal hearing.
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