Deep Neural Network for Automatic Classification of Pathological Voice Signals.

Journal: Journal of voice : official journal of the Voice Foundation
Published Date: Jul 10, 2020

Abstract

OBJECTIVES: Computer-aided pathological voice detection is efficient for initial screening of pathological voice, and has received high academic and clinical attention. This paper proposes an automatic diagnosis method of pathological voice based on deep neural network (DNN). Other two classification models (support vector machines and random forests) were used to verify the effectiveness of DNN.

Authors

  • Lili Chen
    School of Mechatronics & Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, China; School of Chongqing Key Laboratory of Urban Rail Transit Vehicle System Integration and Control, Chongqing Jiaotong University, Chongqing 400074, China.
  • Junjiang Chen
    School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing, China.

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