| 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 |
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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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