文章摘要
朱知萌,郭育,王冠,章佳荣.水下蛙人呼吸声Mel倒谱特征的实验研究[J].声学技术,2017,36(3):286~292
水下蛙人呼吸声Mel倒谱特征的实验研究
Experimental research on Mel cepstrum feature of the underwater diver breathing-signal
投稿时间:2016-09-21  修订日期:2016-12-09
DOI:10.16300/j.cnki.1000-3630.2017.03.016
中文关键词: 被动声呐  水下小目标  Mel频率倒谱系数  特征匹配
英文关键词: passive sonar  underwater small target  Mel Frequency Cepstrum Coefficient (MFCC)  feature matching
基金项目:
作者单位E-mail
朱知萌 中国船舶工业系统工程研究院, 北京 100094 zhuzhimeng@hrbeu.edu.cn 
郭育 中国船舶工业系统工程研究院, 北京 100094  
王冠 中国船舶工业系统工程研究院, 北京 100094  
章佳荣 中国船舶工业系统工程研究院, 北京 100094  
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中文摘要:
      为提高水下蛙人呼吸声识别的准确度,提出一种基于Mel频率倒谱系数(Mel Frequency Cepstrum Coefficient,MFCC)的蛙人呼吸声信号特征匹配方法。计算呼吸声信号之间、信号与环境噪声及舰船辐射噪声的MFCC夹角和MFCC距离并进行匹配比较,以进行分类识别。某湖试验数据的处理结果表明:蛙人呼吸声与舰船辐射噪声及环境噪声的MFCC参数有着明显的差异,能够对蛙人呼吸声信号与干扰噪声进行区分,证明了基于MFCC特征算法的有效性,对发展港口、码头等近海海域附近的水下蛙人探测声呐和预警系统具有实际意义。
英文摘要:
      In order to improve the accuracy of the diver breathing-signal recognition,this paper presents a method of matching underwater diver breathing-signal based on MFCC.Breathing-signal of the underwater diver is obtained during the trial in Songhua River,Jilin province,and the MFCC angle and MFCC distance between breathing-signal,ship-radiated noise and ambient noise are calculated and matched.The results show that there is an obvious difference of the MFCC parameter between diver breathing-signal and noise,the validity of the MFCC based feature algorithm is verified,which has a reference value for the development of underwater diver sonar and early warning system in offshore areas.
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