Journal of Guangxi Normal University(Natural Science Edition) ›› 2018, Vol. 36 ›› Issue (4): 34-41.doi: 10.16088/j.issn.1001-6600.2018.04.005

Previous Articles     Next Articles

Identification of Pathological Voice of Different Levels Based on Random Forest

XU Yuanjing, HU Weiping*   

  1. College of Electronic Engineering, Guangxi Normal University, Guilin Guangxi 541004,China
  • Received:2018-03-29 Published:2018-10-20

PDF (PC)

377

Abstract: In order to identify the different degrees of pathological voice recognition, a method based on random forest recognition is proposed in this paper. The normal, moderate, and severe pathological voices are identified separately and compared with the recognition results of GMM. The experimental results show that compared with GMM, random forest method has higher classification accuracy, robustness, and better recognition results. The highest recognition rates of normal, moderate, and severe voices are 98.04%, 86.84%, and 83.33%, respectively. It provides a reference for further research on the classification of pathological voice.

Key words: pathological voice, random forest, Gaussian mixed model, robustness

CLC Number: 

  • TP391.4
[1] 卢永辉. 语音识别技术的关键问题研究[D]. 西安:陕西师范大学, 2014.
[2] 于萍, 孙彩. 嗓音疾病的分类[J]. 听力学及言语疾病杂志, 2018,26(1):110-114.
[3] 杨式麟. 嗓音的声学检测[J]. 听力学及言语疾病杂志, 2002, 10(2):127-128.
[4] FANG S H, TSAO Y, HSIAO M J, et al. Detection of pathological voice using cepstrum vectors: a deep learning approach[J]. Journal of Voice, 2018. DOI:10.1016/j.jvoice.2018.02.003.
[5] 刘珊珊. 基于SVM的病理嗓音障碍严重等级的评估和分类[J]. 仪表技术, 2015(6):41-43,47.
[6] 袁悦, 顾玲玲, 常静雅,等. 经验模态分解法识别声带息肉和声带囊肿的研究[J]. 信息化研究, 2015,41(2):27-32.
[7] 陶智, 曾晓亮, 顾玲玲,等. 病理嗓音发声系统的非对称建模研究[J]. 数据采集与处理, 2016, 31(2):260-267.
[8] MUHAMMAD G, ALSULAIMAN M, ALI Z, et al. Voice pathology detection using interlaced derivative pattern on glottal source excitation[J]. Biomedical Signal Processing and Control, 2017, 31:156-164.
[9] MURSALIN M, ZHANG Y, CHEN Y, et al. Automated epileptic seizure detection using improved correlation-based feature selection with random forest classifier[J]. Neurocomputing, 2017, 241(C):204-214.
[10] 高俊芬, 胡维平. 基于非线性动力学和GMM的病态嗓音识别与研究[J]. 广西师范大学学报(自然科学版), 2011, 29(3):5-8.
[11] 张志明, 杨式鳞. 病态嗓音基频和音域的变化[J]. 临床耳鼻咽喉科杂志, 2000, 14(6): 260-261.
[12] ZHAO G H, MIN H. Incremental learning algorithm of least squares support vector machines based on renyi entropy[C]// International Conference on Management Science and Engineering. Piscataway NJ: IEEE Press, 2009:95-100.
[13] XIE H B, CHEN W T, HE W X, et al. Complexity analysis of the biomedical signal using fuzzy entropy measurement[J]. Applied Soft Computing, 2011, 11(2):2871-2879.
[14] YE X, XIA X, ZHANG J, et al. Effects of trends and seasonalities on robustness of the Hurst parameter estimators[J]. IET Signal Processing, 2013, 6(9):849-856.
[15] HURST H E, BLACK R P, SIMAIKA Y M. Long-term storage: an experimental study[J]. Journal of the Royal Statistical Society, 1966, 129(4):591.
[16] JOHNSON R W. An introduction to the bootstrap[J]. Teaching Statistics, 2010,23(2):49-54.
[17] HENRIQUEZ P, ALONSO J B, FERRER M A, et al. Characterization of healthy and pathological voice through measures based on nonlinear dynamics[J]. IEEE Transactions on Audio Speech and Language Processing, 2009, 17(6):1186-1195.
[1] ZOU Yanli, WANG Yang, LIU Shusheng, YAO Fei. Study of Cascading Failure in the Grid under the Capacity Load Model with Neighbors Degree Information [J]. Journal of Guangxi Normal University(Natural Science Edition), 2019, 37(4): 27-36.
[2] TANG Tang, WEI Chengyun, LUO Xiaoshu, QIU Senhui. Study of Seeker Optimization Algorithm with Inertia TermSelf-tuning to Attitude Stability of Quadrotor UAV [J]. Journal of Guangxi Normal University(Natural Science Edition), 2018, 36(4): 12-19.
[3] WEI Zhenhan, SONG Shuxiang, XIA Haiying. State-of-charge Estimation Using Random Forest for Lithium Ion Battery [J]. Journal of Guangxi Normal University(Natural Science Edition), 2018, 36(4): 27-33.
[4] ZHONG Haixin, QIU Senhui, LUO Xiaoshu, TANG Tang, YANG Li, ZHAO Shuai. Study of Applying BP Neural Network with Inertia Term Self-tuningto Attitude Stability of Quadrotor Unmanned Aerial Vehicle [J]. Journal of Guangxi Normal University(Natural Science Edition), 2017, 35(2): 24-31.
[5] ZHONG Haixin, LUO Xiaoshu, ZHAO Shuai, YANG Li, TANG Tang. Research on Attitude Stability Control of Quadrotor Unmanned Aerial Vehicle Based on Improved Elitist Ant Colony System Algorithm [J]. Journal of Guangxi Normal University(Natural Science Edition), 2016, 34(4): 85-92.
[6] CHEN Jin, LUO Xiaoshu. A Novel QPSK Signal Demodulation Method Based on Wavelet Transform [J]. Journal of Guangxi Normal University(Natural Science Edition), 2016, 34(2): 35-45.
[7] ZHANG Jun-jian, YANG Xiu-qin. Minimum Weighted KS Estimate [J]. Journal of Guangxi Normal University(Natural Science Edition), 2012, 30(4): 54-58.
[8] GAO Jun-fen, HU Wei-ping. Recognition and Study of Pathological Voices Based on NonlinearDynamics Using GMM [J]. Journal of Guangxi Normal University(Natural Science Edition), 2011, 29(3): 5-8.
[9] XIONG Shun-qing, ZHOU Wei-hong. New Digital Watermarking Algorithm Based on NSCT and SVD [J]. Journal of Guangxi Normal University(Natural Science Edition), 2011, 29(2): 195-199.
[10] LI Yong, JIA Zhen. Applications of Discrete Chaotic Systems in Secure Communication [J]. Journal of Guangxi Normal University(Natural Science Edition), 2011, 29(1): 15-19.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Guangxi Normal University(Natural Science Edition), All Rights Reserved.
Tel: 0773-5857325　E-mail: gxsdzkb@mailbox.gxnu.edu.cn
Powered by Beijing Magtech Co. Ltd