Computer Science ›› 2020, Vol. 47 ›› Issue (11A): 46-51.doi: 10.11896/jsjkx.200600055

• Artificial Intelligence • Previous Articles     Next Articles

Analysis of Emotional Degree of Poetry Reading Based on WDOUDT

DONG Ben-qing, LI Feng-kun   

  1. Dalian Neusoft University of Information,Dalian,Liaoning 116023,China
  • Online:2020-11-15 Published:2020-11-17
  • About author:DONG Ben-qing,born in 1981,Ph.D,associate professor,is a member of CCF.His main research interests include software application and computer education.
    LI Feng-kun,born in 1983,master.Her main research interests include intelligent algorithm and artificial intelligence.
  • Supported by:
    This work was supported by the Liaoning Provincial Doctor Start-up Fund (20170520398) and General Project of Science and Technology of Liao-ning Provincial Department of Education (L2015041).

Abstract: In this paper,a new unbalanced decision tree algorithm for infectious expressions of reading poem is proposed.This algorithm called Weighted Division of Unbalanced Decision Tree (WDOUDT).Through the study on the index of poetry reading appeal,mel-frequency cepstral coefficients are extracted from the reading audio,and the decision tree method with the strongest interpretability is used for modelling.WDOUDT does not use evolutionary algorithm and heuristic information search,it is applied to the emotional scoring of poetry reading audio,and the time complexity is lower than the traditional decision tree.The proposed algorithm has fewer nodes and better generalization ability,and has better robustness to noise data.

Key words: Fast convergence., Infectious expression, Unbalanced decision tree, Weighted division

CLC Number: 

  • TP391.43
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