Acoustic Denoising Using Dictionary Learning With Spectral and Temporal Regularization

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 intraso...

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Veröffentlicht in:	IEEE/ACM transactions on audio, speech, and language processing speech, and language processing, 2018-05, Vol.26 (5), p.967-980
Hauptverfasser:	Vaz, Colin, Ramanarayanan, Vikram, Narayanan, Shrikanth
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithm design and analysis complex NMF dictionary learning Magnetic resonance imaging Noise measurement Noise reduction noise suppression Real-time MRI Spatial resolution Speech Three-dimensional displays
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