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基于分层采样粒子滤波的麦克风阵列说话人跟踪方法
- 点击次数：
- 发表时间：2008-01-01
- 发表刊物：电子学报
- 所属单位：软件学院
- 文献类型：J
- 期号：1
- 页面范围：194-198
- ISSN号：0372-2112
- 摘要：A new sound source localization and tracking method based on microphone array is presented for speaker tracking problem in noisy and reverberant environments. In the framework of particle filtering, the echo-free onset signal is extracted according to the echo-avoidance model of the precedence effect, and likelihood function is constructed by the output power of beamformer. Considering the effects of different frequency components on localization and tracking, layered sampling approach is used to improve the computational efficiency of particle filter. The results of simulation data and real data show that the proposed method can reliably track the speaker even in moderately reverberant rooms.
- 备注：新增回溯数据
