Performance measurement in blind audio source separation
Performance measurement in blind audio source separation
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DOI：
10.1109/tsa.2005.858005
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发表时间：
2006-07-01
影响因子：
--
通讯作者：
Févotte, Cedric
中科院分区：
文献类型：
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作者：
Vincent, Emmanuel;Gribonval, Remi;Févotte, Cedric
在本文中，我们讨论了盲音源分离（低音）算法的评估。根据确切的应用程序，可以在估计的源和想要的真实来源之间进行不同的扭曲。我们考虑了四组这种允许的扭曲，从时间不变的收益到随时间变化的过滤器。在每种情况下，我们将估计的源分解为真实的源部分加上与干扰，添加噪声和算法伪像的误差项。然后，我们使用能量比，加上单独的性能，为每个误差项得出一个全局性能度量。这些措施是计算和讨论的，并讨论了多个难度水平的低音问题的结果。
In this paper, we discuss the evaluation of blind audio source separation (BASS) algorithms. Depending on the exact application, different distortions can be allowed between an estimated source and the wanted true source. We consider four different sets of such allowed distortions, from time-invariant gains to time-varying filters. In each case, we decompose the estimated source into a true source part plus error terms corresponding to interferences, additive noise, and algorithmic artifacts. Then, we derive a global performance measure using an energy ratio, plus a separate performance,measure for each error term. These measures are computed and discussed on the results of several BASS problems with various difficulty levels.