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Denoising acoustic signals using constrained non-negative matrix factorization

机译:使用约束非负矩阵分解对声音信号进行降噪

摘要

A method and system denoises a mixed signal. A constrained non-negative matrix factorization (NMF) is applied to the mixed signal. The NMF is constrained by a denoising model, in which the denoising model includes training basis matrices of a training acoustic signal and a training noise signal, and statistics of weights of the training basis matrices. The applying produces weight of a basis matrix of the acoustic signal of the mixed signal. A product of the weights of the basis matrix of the acoustic signal and the training basis matrices of the training acoustic signal and the training noise signal is taken to reconstruct the acoustic signal. The mixed signal can be speech and noise.
机译:一种方法和系统对混合信号进行降噪。将约束非负矩阵分解(NMF)应用于混合信号。 NMF受到降噪模型的约束,其中,降噪模型包括训练声学信号和训练噪声信号的训练基础矩阵,以及训练基础矩阵的权重统计。施加产生混合信号的声信号的基本矩阵的权重。取声学信号的基础矩阵的权重与培训声学信号和培训噪声信号的培训基础矩阵的权重的乘积来重建声学信号。混合信号可以是语音和噪声。

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