首页> 外文会议>Independent Component Analysis and Blind Signal Separation; Lecture Notes in Computer Science; 3195 >Non-negative Matrix Factor Deconvolution; Extraction of Multiple Sound Sources from Monophonic Inputs
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Non-negative Matrix Factor Deconvolution; Extraction of Multiple Sound Sources from Monophonic Inputs

机译:非负矩阵因子反卷积;从单声道输入中提取多个声源

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摘要

In this paper we present an extension to the Non-Negative Matrix Factorization algorithm which is capable of identifying components with temporal structure. We demonstrate the use of this algorithm in the magnitude spectrum domain, where we employ it to perform extraction of multiple sound objects from a single channel auditory scene.
机译:在本文中,我们提出了对非负矩阵分解算法的扩展,该算法能够识别具有时间结构的分量。我们演示了此算法在幅度谱域中的使用,在该域中我们将其用于从单个通道听觉场景中提取多个声音对象。

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