A Method of Identifying the Difficulty of College Piano Teaching Music Score Based on SVM Algorithm

In order to improve the accuracy of difficulty recognition in college piano teaching scores, a method based on SVM algorithm for difficulty recognition in college piano teaching scores was designed. Construct a mapping space for the difficulty level features of college piano teaching scores, and extract the difficulty level features of college piano teaching scores. Based on SVM algorithm, a difficulty recognition model for college piano teaching score is constructed, and the difficulty level of college piano teaching score is mapped to the feature space for recognition, eliminating linear errors in difficulty recognition of college piano teaching score and improving the accuracy of difficulty recognition of college piano teaching score. The experimental results show that the proposed method has higher accuracy in identifying the difficulty of college piano teaching scores, and can effectively shorten the time for identifying the difficulty of college piano teaching scores.