论文标题
基于分布式麦克风之间的整个信号关系的采样率偏移的联合优化
Joint Optimization of Sampling Rate Offsets Based on Entire Signal Relationship Among Distributed Microphones
论文作者
论文摘要
在本文中，我们建议同时估计多个设备的所有采样率偏移率（SRO）。在分布式麦克风阵列中，SRO是不可避免的，这会恶化阵列信号处理的性能。大多数现有的SRO估计方法都集中在同步两个麦克风上。当同步两个以上的麦克风时，我们选择一个参考麦克风，并独立估计每个非参考麦克风的SRO。因此，不考虑非参考麦克风观察到的信号之间的关系。为了解决这个问题，提出的方法基于多通道信号的概率模型共同优化了所有SRO。 SRO和模型参数交替更新，以根据辅助函数增加对数可能性。提出的方法的有效性在各种说话者的混合物上得到了验证。
In this paper, we propose to simultaneously estimate all the sampling rate offsets (SROs) of multiple devices. In a distributed microphone array, the SRO is inevitable, which deteriorates the performance of array signal processing. Most of the existing SRO estimation methods focused on synchronizing two microphones. When synchronizing more than two microphones, we select one reference microphone and estimate the SRO of each non-reference microphone independently. Hence, the relationship among signals observed by non-reference microphones is not considered. To address this problem, the proposed method jointly optimizes all SROs based on a probabilistic model of a multichannel signal. The SROs and model parameters are alternately updated to increase the log-likelihood based on an auxiliary function. The effectiveness of the proposed method is validated on mixtures of various numbers of speakers.
