Music separation guided by cover tracks: Designing the joint NMF model
Music separation guided by cover tracks: Designing the joint NMF model
复制标题
由封面曲目引导的音乐分离：设计联合 NMF 模型
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
F. Bimbot
中科院分区：
文献类型：
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作者：
Nathan Souviraà;E. Vincent;F. Bimbot
在音频源分离中，参考制导方法是使用参考信号来指导分离的一类方法。在以前的工作中，我们提出了一个通用的框架来模拟源和参考之间的变形。在本文中，我们研究了这个框架内的一个特定场景：由多轨录音指导的音乐分离，以待处理的歌曲的封面解释为指导。我们报告了一系列实验，强调了联合非负矩阵分解(NMF)、词典转换和特定转换模型对不同类型来源的相关性。信噪比(SDRI)提高了近11分贝(分贝)，与之前在相同数据集上的研究相比提高了2分贝。这些观察结果有助于验证理论总体框架的相关性，并可在实践中用于设计其他参考制导源分离问题的模型。
In audio source separation, reference guided approaches are a class of methods that use reference signals to guide the separation. In prior work, we proposed a general framework to model the deformation between the sources and the references. In this paper, we investigate a specific scenario within this framework: music separation guided by the multitrack recording of a cover interpretation of the song to be processed. We report a series of experiments highlighting the relevance of joint Non-negative Matrix Factorization (NMF), dictionary transformation, and specific transformation models for different types of sources. A signal-to-distortion ratio improvement (SDRI) of almost 11 decibels (dB) is achieved, improving by 2 dB compared to previous study on the same data set. These observations contribute to validate the relevance of the theoretical general framework and can be useful in practice for designing models for other reference guided source separation problems.
影响因子：
14.9
作者：
Sebastian Ewert;Bryan Pardo;Meinard Müller;Mark D. Plumbley
通讯作者：
Sebastian Ewert;Bryan Pardo;Meinard Müller;Mark D. Plumbley