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Good Noise Power Estimators Are Not Always Good

机译:好的噪声功率估算器并不总是很好

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Methods for estimating the noise power in noisy speech signals have been developed and explored for many years. Thus, there are some good state-of-the-art noise power estimators, which were successfully tested on various noise types and different SNR conditions. Hence, a meeting scenario in an environment with high signal-to-noise ratio (SNR) of some close-talk speech recordings, where also some stationary sensor noise has to be estimated, should not pose a challenging problem for good noise estimators. However, we observed that high SNR conditions, as well as multi-talk situations can mislead state-of-the-art noise power estimators, and sometimes a more simple approach is to be preferred. In this contribution we present an analysis of three different noise power estimators when used in a meeting scenario with interfering speakers.
机译:多年来,已经开发并探索了用于估计噪声语音信号中的噪声功率的方法。因此,存在一些良好的最新噪声功率估计器,它们已在各种噪声类型和不同SNR条件下成功进行了测试。因此,在一些近距离语音记录具有高信噪比(SNR)的环境中的会议场景(其中还必须估计一些固定的传感器噪声),对于良好的噪声估计器来说,不会构成挑战性的问题。但是,我们观察到,高SNR条件以及多通话情况可能会误导最新的噪声功率估计器,有时最好采用更简单的方法。在此文稿中,我们介绍了在有干扰扬声器的会议场景中使用时三种不同噪声功率估计器的分析。

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