Optimal multi-pitch estimation using the EM algorithm for co-channel speech separation
Optimal multi-pitch estimation using the EM algorithm for co-channel speech separation
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使用 EM 算法进行同通道语音分离的最佳多基音估计
DOI：
10.1109/icassp.1993.319415
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发表时间：
1993
期刊：
影响因子：
--
通讯作者：
D. Malah
中科院分区：
文献类型：
--
作者：
D. Chazan;Y. Stettiner;D. Malah
最佳估计（在最大似然意义上）的几个扬声器同时说话的每个音高的问题得到解决。在执行同信道语音分离的系统中需要该信息。提出了一种多音调模型，它是结合使用的EM（期望最大化）为基础的迭代估计方案。允许每个扬声器的基音周期在分析区间内线性变化，从而提供改进的同声道语音分离。实验结果表明，该算法在检测多个同时说话人的基音时，性能优于标准基音检测算法。所提出的多基音检测算法在提高说话人分离性能和干扰抑制系统中具有潜在的应用价值。<<ETX>>
The problem of optimally estimating (in the maximum-likelihood sense) the pitch of each of several speakers talking simultaneously is addressed. This information is needed in systems which perform co-channel speech separation. A multipitch model is proposed which is used in conjunction with an EM (expectation maximization)-based iterative estimation scheme. The pitch period of each speaker is allowed to vary linearly in the analysis interval, thus offering improved cochannel speech separation. The proposed algorithm is shown to outperform standard pitch detection algorithms in detecting the pitch of simultaneous speakers. The proposed multipitch detection algorithm has potential in improving the performance of speaker separation and in interference suppression systems.<<ETX>>