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Yu Junqing, Hu Xiaoqiang, Sun Kai. Research on the Improved Hybrid Segmentation Algorithm for Audio[J]. Journal of Computer-Aided Design & Computer Graphics, 2010, 22(7): 1174-1181.
Citation: Yu Junqing, Hu Xiaoqiang, Sun Kai. Research on the Improved Hybrid Segmentation Algorithm for Audio[J]. Journal of Computer-Aided Design & Computer Graphics, 2010, 22(7): 1174-1181.

Research on the Improved Hybrid Segmentation Algorithm for Audio

  • DISTBIC is a typical hybrid audio segmentation algorithm, but its validation method for candidate changing points is too radical and may lose the true changing points.To address this problem, we develop a new BIC validation algorithm, which gives the candidate points several opportunities to be validated.For a fixed penalty factor value, it is difficult to set a proper value to achieve both high recall rate and high precision.Based on the detect ability and heuristic rule, an adaptive setting method of the penalty factor is designed to solve this problem.The experimental results indicate that the improved algorithm is superior to the original algorithms.
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