具有频谱和时间连续性准则的单声源分离NMF

J. Becker, Christian Sohn, Christian Rohlfing
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引用次数: 9

摘要

非负矩阵分解(NMF)是一种适用于单声源分离且应用广泛的方法。研究表明,支持时间连续性的额外成本项可以提高分离质量[1]。我们通过增加一个代价项来扩展这个模型,这个代价项惩罚光谱维度的大变化。为此,我们提出了两个不同的成本术语,并提出了一个新的时间连续性成本术语。我们在音调乐器、鼓声和其他声学信号的不同混合样本上评估这些成本条款。我们的研究结果表明,惩罚较大的光谱变化可以提高分离质量。结果还表明,我们的替代时间连续性成本项比[1]中提出的时间连续性成本项具有更好的分离效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NMF with spectral and temporal continuity criteria for monaural sound source separation
Nonnegative Matrix Factorization (NMF) is a well suited and widely used method for monaural sound source separation. It has been shown, that an additional cost term supporting temporal continuity can improve the separation quality [1]. We extend this model by adding a cost term, that penalizes large variations in the spectral dimension. We propose two different cost terms for this purpose and also propose a new cost term for temporal continuity. We evaluate these cost terms on different mixtures of samples of pitched instruments, drum sounds and other acoustical signals. Our results show, that penalizing large spectral variations can improve separation quality. The results also show, that our alternative temporal continuity cost term leads to better separation results than the temporal continuity cost term proposed in [1].
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