Acoustic Denoising Using Dictionary Learning With Spectral and Temporal Regularization.

IEEE/ACM Transactions on Audio, Speech, and Language Processing(2018)

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摘要
We present a method for speech enhancement of data collected in extremely noisy environments, such as those obtained during magnetic resonance imaging scans. We propose an algorithm based on dictionary learning to perform this enhancement. We use complex nonnegative matrix factorization with intrasource additivity (CMF-WISA) to learn dictionaries of the noise and speech+noise portions of the data ...
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关键词
Speech,Magnetic resonance imaging,Noise reduction,Noise measurement,Algorithm design and analysis,Spatial resolution,Three-dimensional displays
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