| 基于迭代中心差分卡尔曼滤波的说话人跟踪方法 |
| |
| 引用本文： | 侯代文,殷福亮.基于迭代中心差分卡尔曼滤波的说话人跟踪方法[J].电子与信息学报,2008,30(7):1684-1689. |
| |
| 作者姓名： | 侯代文 殷福亮 |
| |
| 作者单位： | 1. 大连理工大学电子与信息工程学院,大连116023;海军试验基地,大连116041
2. 大连理工大学电子与信息工程学院,大连,116023 |
| |
| 基金项目： | 国家自然科学基金
,
教育部跨世纪优秀人才基金课题 |
| |
| 摘 要： | 利用状态空间方法对说话人进行语音跟踪时,观测方程的非线性会影响说话人位置的估计精度。该文将迭代滤波理论与中心差分卡尔曼滤波技术相结合,提出迭代的中心差分卡尔曼滤波方法,并应用于说话人跟踪系统。仿真实验结果表明,该文所提出的方法减少了系统线性化误差,增强了滤波算法的鲁棒性,提高了说话人跟踪精度。
|
| 关 键 词： | 说话人跟踪 中心差分 卡尔曼滤波 麦克风阵列 Levenberg-Marquardt方法 |
| 收稿时间： | 2006-11-30 |
| 修稿时间： | 2007-6-8 |
Iterated Central Difference Kalman Filter Based Speaker Tracking |
| |
| Hou Dai-wen,Yin Fu-liang.Iterated Central Difference Kalman Filter Based Speaker Tracking[J].Journal of Electronics & Information Technology,2008,30(7):1684-1689. |
| |
| Authors: | Hou Dai-wen Yin Fu-liang |
| |
| Affiliation: | School of Electronic and Information Engineering, Dalian University of Technology, Dalian 116023, China; Naval Test Base, Dalian 116041,China |
| |
| Abstract: | In the state space method based speaker tracking system, the nonlinearity of the measurement function degrades the localizing accuracy of the speaker tracking method severely. The iterated central difference Kalman filter algorithm, which incorporates the iterated filtering theory and the Central Difference Kalman Filter (CDKF) method, is proposed to reduce linearization error. In comparison with traditional CDKF method, the proposed method has higher tracking accuracy, faster convergence speed and more robust stability. Simulation results demonstrate the effectiveness of the proposed method. |
| |
| Keywords: | Speaker tracking Central difference Kalman filter Microphone array Levenberg-Marquardt method |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《电子与信息学报》浏览原始摘要信息 |
|
点击此处可从《电子与信息学报》下载全文 |
|
