计算机技术与发展2012，Vol.22Issue(6)：82-84,88,4.
基于改进MFCC和短时能量的咳嗽音身份识别
Cough Sound Identification Based on Improved MFCC and Short-time Energy
摘要
Abstract
Introduce an identification method based on cough sounds. Concerning the short burst characteristic of cough sounds, a new feature parameter MFCC_N is proposed.then put MFCC_N and short-time energy together as a new series of coefficients. In order to verify the validity of the new coefficient,an identification system based on GMM is established. Respectively extract MFCC,MFCC+△MFCC and MFCC_N+E as recognition parameter to compare. The experiments were implemented in MATLAB 7.0 environment. The results showed that the system performance with new parameter was feasible and could obtain higher recognition rate and low computational complexity than that with MFCC and MFCC+AMFCC.关键词
咳嗽音/特征参数/短时能量/高斯混合模型/识别Key words
cough sound/feature parameter/short-time energy/GMM/recognition分类
信息技术与安全科学引用本文复制引用
赵青,成谢锋,朱冬梅..基于改进MFCC和短时能量的咳嗽音身份识别[J].计算机技术与发展,2012,22(6):82-84,88,4.基金项目
南京邮电大学基金项目(NY207139) （NY207139）
