Abstract:The improved SVM (support vector machine) offers an active training method that provides users with the most informative sample through multiple iterations and adds it to the training package, which can significantly reduce the cost of manually labeling samples. To evaluate the classifier’s performance, 801 music samples were tested for five music types (Dance, Lyric, Jazz, Folk, and Rock). The effectiveness of the proposed SVM active training method was confirmed by two things: the convergence speed and the c… Show more
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