Abstract
The extraction of piano features needs to be based on mature technology, but there is no mature technology for feature recognition of music to ensure the correct rate of feature extraction. This article combines filter processing technology to carry out the research on piano playing feature recognition and builds an intelligent error correction system, and it realizes the feature recognition and error correction of piano playing with the support of filter technology. Moreover, this article conducts experimental research on the system constructed. Through experimental research, it can be seen that the piano performance feature recognition system proposed in this article can effectively recognize the piano practitioner’s playing effect and record it for error correction. This intelligent method can effectively improve the piano playing effect.
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