Abstract
摘要: 提出了一种基于拟蒙特卡洛滤波的说话人跟踪方法. 该方法利用拟蒙特卡洛积分技术优化采样粒子在状态空间的分布特性, 降低了滤波过程中的积分误差, 提高了状态估计精度; 同时, 用均值漂移技术使采样粒子向高似然区域移动, 减少了所需采样粒子的数目, 降低了计算需求. 最后, 将所提方法应用于说话人跟踪系统, 提高了说话人位置的跟踪精度. 仿真实验结果验证了本文方法的有效性. 关键词: 说话人跟踪 / 拟蒙特卡洛滤波 / 粒子滤波 / 均值漂移 / 状态估计
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