MFCCCNN.

Xiaoping Xie1, Hao Cai2, Can Li2

  • 1The State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, China; Shenzhen Research Institute of Hunan University, Shenzhen, China.

概括

这项研究引入了一种使用Mel频率塞普斯特姆系数 (MFCC) 参数和卷积神经网络 (CNN) 的新型语音疾病检测方法. 该方法实现了诊断声的高准确性,改进了现有方法.

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