Details

Title

A Signal Subspace Speech Enhancement Approach Based on Joint Low-Rank and Sparse Matrix Decomposition

Journal title

Archives of Acoustics

Yearbook

2016

Numer

No 2

Publication authors

Divisions of PAS

Nauki Techniczne

Publisher

Committee on Acoustics PAS, PAS Institute of Fundamental Technological Research, Polish Acoustical Society

Date

2016

Identifier

eISSN 2300-262X ; ISSN 0137-5075

References

Gannot (1998), Iterative and Sequential Kalman filter based speech enhancement algorithms Speech, IEEE Trans Acoust Signal Process, 6, 373. ; Tufts (1982), Data adaptive signal estimation by singular value decomposition of a data matrix, Proc IEEE, 70, 684, doi.org/10.1109/PROC.1982.12367 ; Candes (2011), Robust Principal Component Analysis ? the, Journal of ACM, 58, 1, doi.org/10.1145/1970392.1970395 ; Tufts (1982), Esimation of frequencies of multiple sinusoids : Making linear prediction perform like maximum likelihood, Proc IEEE, 70. ; Fazel (2008), Compressed sensing and robust recovery of low rank matrices in Asilomar Signals Systems and Computers Pacific Grove CA, Conf. ; Ephraim (1995), Trees A signal subspace approach for speech enhancement Speech, IEEE Trans Audio Process, 3, 251, doi.org/10.1109/89.397090 ; Peng (2012), RASL : Robust Alignment by Sparse and Lowrank Decomposition for Linearly Correlated Images on Pattern Analysis and, IEEE Transactions Machine Intelligence. ; Virag (1999), Single channel speech enhancement based on masking properties of the human auditory system Speech, IEEE Trans Acoust Signal Process, 7, 126. ; Mardani (2013), Recovery of lowrank plus compressed sparse matrices with application to unveiling traffic anomalies, IEEE Trans Inf Theory, 59. ; Hu (2003), A Generalized Subspace Approach for Enhancing Speech Corrupted by Colored Noise on Speech and, IEEE Trans Audio Processing, 11, 334, doi.org/10.1109/TSA.2003.814458 ; Zehtabian (2010), A novel speech enhancement approach based on singular value decomposition and genetic algorithm International Conference of and Recognition pp, Soft Computing Pattern, 430. ; Zhou (2011), GoDec : Randomized Lowrank & Sparse Matrix Decomposition in Noisy Case in Proceedings of the th International Conference on Machine Learning Bellevue WA, USA. ; Boll (1979), Suppression of acoustic noise in speech using spectral subtraction Speech, IEEE Trans Acoust Signal Process, 27, 113, doi.org/10.1109/TASSP.1979.1163209 ; Moor (1993), The singular value decomposition and long and short spaces of noisy matrix on, IEEE Transactions Signal Processing, 41, 2826, doi.org/10.1109/78.236505 ; Plapous (2006), Improved Signal - to - Noise Ratio Estimation for Speech Enhancement IEEE Transactions on Acoustics and, Speech Signal Processing, 14, 2098. ; Saadoune (2014), Perceptual subspace speech enhancement using variance of the reconstruction error, Digital Signal Processing, 24. ; Bakamides (1991), SVD analysis by synthesis of harmonic signals, IEEE Trans Signal Processing, 39, 472, doi.org/10.1109/78.80831 ; Jax (2003), Artificial bandwidth extension of speech signals using MMSE estimation based on a hidden Markov medol TEEE International Conference on Acoudtics Speech and, Signal Processing, 8, 680. ; Ephraim (1984), Speech enhancement using a minimum mean - square error short - time spectral amplitude estimator Speech ASSP, IEEE Trans Acoust Signal Process, 32, 109. ; Dendrinos (1991), Speech enhancement from noise : A regenerative approach, Speech Communication, 10, 45, doi.org/10.1016/0167-6393(91)90027-Q ; Zhou (2013), Moving Object Detection by Detecting Contiguous Outliers in the LowRank Representation on Pattern Analysis and, IEEE Trans Machine Intelligence, 35, 597, doi.org/10.1109/TPAMI.2012.132 ; Jin (2006), Speech enhancement by residual domain constrained optimization, Speech Communication, 148. ; Chang (2000), Adaptive Wavelet Thresholding for Image Denoising and Compression on, IEEE Transactions Information Theory, 9, 1532. ; Hu (2008), Evaluation of objective quality measures for speech enhancement Speech, IIEEE Trans Audio Process, 16, 229. ; Sun (2014), A novel speech enhancement method based on constrained low - rank and sparse matrix decomposition pp, Speech Communication, 44, doi.org/10.1016/j.specom.2014.03.002 ; Kim (2000), On the applications of the interacting multiple model algorthm for enhancing noisy speech Speech, IEEE Trans Acoust Signal Process, 8, 349. ; Xu (2012), Robust PCA via outlier pursuit on, IEEE Transactions Information Theory, 58, 3047, doi.org/10.1109/TIT.2011.2173156 ; Candes (2010), The power of convex relaxation : near - optimal matrix completion on, IEEE Transactions Information Theory, 56, 2053, doi.org/10.1109/TIT.2010.2044061

DOI

10.1515/aoa-2016-0024

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