Piano playing musical note correction system and method

Abstract

The invention provides a piano playing musical note correction system. The system comprises a track display module, a note picking module, a sound picking module, a comparison module, and a data recording module. The comparison module is connected to the track display module. The similarity values of the notes are instantly marked by the track display module, so that the students can correct in real time during the practice. In this way, during the practice of playing, the student picks up the playing sound through the sound pickup device and converts the sound digital signal. At the same time, comparing the similarity between the above-mentioned sound digital signal and the note digital signal greatly improves the accuracy of the identification. The comparison result is marked in real time by the track display module on the notes of the practice playing track, so that the students can understand the playing situation. The timely detection of the notes with poor control makes the training process targeted, so that the students can practice on their own without the help of a teacher.

Description

technical field [0001] The invention relates to the field of piano teaching, in particular to a system and method for correcting piano playing notes. Background technique [0002] With the development of society, more and more children and adults have a strong interest in piano learning. At present, the way of learning piano is mainly by participating in training classes, etc. The usual teaching method is to conduct demonstration teaching to the instructor in advance, and then the students practice by themselves. In this process, the instructor needs to rely on experience to correct the notes played by the students. It is necessary to judge whether or not, and when students find mistakes, it is often necessary for the instructor to perform a demonstration in person. Now there are automatic music recognition software on the market, but in actual teaching, it is found that the versatility is not good, and the recognition error rate is high, and students cannot realize self-co...

AI Technical Summary

Problems solved by technology

Now there are music automatic recognition software on the market, but in the actual teaching, it is found that the versatility is not good, and the recognition error rate is high, and the students cannot realize self-correction without an instructor.

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