NDLI: Single-channel speech enhancement based on multi-band spectrogram-rearranged RPCA

Content Provider	IET Digital Library
Author	Luo, Yongjiang Mao, Yu
Abstract	Robust principal component analysis (RPCA), a novel method for speech enhancement (SE), is expected to decompose the spectrogram of a noisy speech into a low-rank matrix and a sparse matrix, which contain noise components and speech components, respectively. However, some speech components, which are not so variable in different time frames, are possible to be decomposed into a low-rank matrix as noise mistakenly. To address this problem, a novel SE method based on spectrogram-rearranged RPCA (SRPCA) is proposed for a sparse matrix with better decomposition for all speech components in white noise environments. For further improvement under coloured noises corruption, the multi-band method is introduced for SRPCA to be applied in all bands individually. Accordingly, a time-domain enhanced speech is reconstructed from the processed sparse matrix. Numerical experiments show the effectiveness of the proposed method.
Starting Page	415
Ending Page	417
Page Count	3
ISSN	00135194
Volume Number	55
e-ISSN	1350911X
Issue Number	Issue 7, Apr (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/55/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2018.8131
Journal	Electronics Letters
Publisher Date	2019-02-20
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Coloured Noises Corruption Linear Algebra Low-rank Matrix Multiband Method Multiband Spectrogram-rearranged RPCA Noise Component Noisy Speech Novel SE Method Numerical Analysis Principal Component Analysis Robust Principal Component Analysis Single-channel Speech Enhancement Sparse Matrix Spectral Analysis Spectrogram Decomposition Speech And Audio Signal Processing Speech Component Speech Enhancement Speech Processing Technique SRPCA Statistics Time-domain Enhanced Speech White Noise White Noise Environments
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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