| 基于HMM与K-均值聚类的声目标识别 |
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| 引用本文： | 陈功,张雄伟,邓玉良.基于HMM与K-均值聚类的声目标识别[J].弹箭与制导学报,2006,26(2):144-147. |
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| 作者姓名： | 陈功 张雄伟 邓玉良 |
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| 作者单位： | 1. 解放军理工大学通信工程学院,南京,210007
2. 金山职业技术学院,镇江,212200 |
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| 摘 要： | 提出一种隐马尔可夫模型和K-均值聚类混合模型的声目标识别方法.在该方法中,建立声信号的HMM,提取了声信号的线性预测系数（LPC）作为目标识别的参数,用K-均值算法对参数进行聚类,产生了训练和识别所用的特征向量.最后根据混合模型的识别算法判断声目标的类别.仿真结果表明：新的混合模型识别系统在声目标识别中具有可行性.
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| 关 键 词： | 隐马尔可夫 K-均值聚类 线性预测系数 目标识别 仿真 |
| 收稿时间： | 2005-11-14 |
| 修稿时间： | 2005年11月14 |
Approach Based on HMM and K-means Clustering to Identify Acoustic Target |
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| CHEN Gong,ZHANG Xiong-wei,DENG Yu-liang.Approach Based on HMM and K-means Clustering to Identify Acoustic Target[J].Journal of Projectiles Rockets Missiles and Guidance,2006,26(2):144-147. |
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| Authors: | CHEN Gong ZHANG Xiong-wei DENG Yu-liang |
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| Affiliation: | 1 ICE of PLAUST, Nanjing 210007,China ; 2 Jinshan Vocational Technical College, Zhenjiang 212200, China |
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| Abstract: | A recognition method based on HMM and K-means cluster is proposed through extracting LPC characteristic from acoustic target. The HMM was employed to compute the Viterbi output score and K-means algorithm is used as cluster LPC. Finally target is recognized by hybrid model, Simulation indicate this method is effective in target recognition. |
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| Keywords: | HMM K-means cluster LPC target recognition simulation |
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