Cough Recognition Based on Mel Frequency Cepstral Coefficients and Dynamic Time Warping

被引：0
|
作者：
Zhu, Chunmei [1 ]
Liu, Baojun [1 ]
Li, Ping [1 ]
机构：
[1] Univ Elect Sci & Technol China, Mech & Elect Engn Dept, Zhongshan Inst, Zhongshan, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND CONTROL SYSTEMS (MECS2015) | 2016年
关键词：
Cough recognition; DTW; MFCC; SPEECH RECOGNITION; MONITOR;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Cough recognition provides important clinical information for the treatment of many respiratory diseases, but the assessment of cough frequency over a long period of time remains unsatisfied for either clinical or research purpose. In this paper, according to the advantage of dynamic time warping (DTW) and the characteristic of cough recognition, an attempt is made to adapt DTW as the recognition algorithm for cough recognition. The process of cough recognition based on mel frequency cepstral coefficients (MFCC) and DTW is introduced. Experiment results of testing samples from 3 subjects show that acceptable performances of cough recognition are obtained by DTW with a small training set.
引用
收藏
页码：326 / 329
页数：4
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