Nonnegative matrix factorization based on complex generative model
Nonnegative matrix factorization based on complex generative model
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DOI：
10.1250/ast.40.155
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发表时间：
2019-05
影响因子：
0.7
通讯作者：
Daichi Kitamura
中科院分区：
文献类型：
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作者：
Daichi Kitamura
非负矩阵分解（NMF）是一种从观测矩阵中提取有意义模式的强大技术，在音频信号处理领域有着广泛的应用。本文综述了非负矩阵分解的基本原理以及基于复杂生成模型的一些扩展。最后，介绍了它们在音频源分离中的应用。
Nonnegative matrix factorization (NMF) is a powerful technique of extracting meaningful patterns from an observed matrix and has been used for many applications in the audio signal processing field. In this article, the principle of NMF and some extensions based on a complex generative model are reviewed. Also, their application to audio source separation is presented.