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Phase constrained complex NMF: Separating overlapping partials in mixtures of harmonic musical sources

机译:相约束复合NMF:分离谐波音乐源混合物中的重叠部分

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This paper examines complex non-negative matrix factorization (CMF) as a tool for separating overlapping partials in mixtures of harmonic musical sources. Unlike non-negative matrix factorization (NMF), CMF allows for the development of source separation procedures founded on a mixture model rooted in the complex-spectrum domain (in which the superposition of overlapping sources is preserved). This paper introduces a physically motivated phase constraint based on the assumption that the source's pitch is sufficient in specifying the phase evolution of the harmonics over time, uniting sinusoidal modelling of acoustic sources with the CMF analysis of their spectral representations. The CMF-based separation procedure, armed with this novel phase constraint, is demonstrated to offer a superior performance to NMF when employed as a tool for separating overlapping partials in the acoustic test cases considered.
机译:本文研究了复杂的非负矩阵分解(CMF)作为用于分离谐波音乐源混合物中的重叠部分的工具。与非负矩阵分解(NMF)不同,CMF允许开发成于复合光谱域中的混合模型上的源分离过程(其中重叠源的叠加被保留)。本文介绍了一种基于对源间距足以指定谐波随时间的相位演进的假设的物理动机的相约定,通过对其光谱表示的CMF分析来单位对声源的正弦建模。用这种新型相位约束武装的基于CMF的分离过程,以便在所考虑的声学测试案件中分离重叠部分的工具时向NMF提供优异的性能。

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