2005
DOI: 10.1109/tsa.2005.851943
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Speech enhancement employing Laplacian-Gaussian mixture

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Cited by 55 publications
(29 citation statements)
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“…In all signal processing applications [40] signal enhancement is a prerequisite step therefore in the present work CSGSF is suggested for the purpose. The two stage Savitzky-Golay FIR smoothing filter for biomedical signal processing is not proposed yet.…”
Section: Methodsmentioning
confidence: 99%
“…In all signal processing applications [40] signal enhancement is a prerequisite step therefore in the present work CSGSF is suggested for the purpose. The two stage Savitzky-Golay FIR smoothing filter for biomedical signal processing is not proposed yet.…”
Section: Methodsmentioning
confidence: 99%
“…In addition, vector subspace technique used STFT-based techniques for speech enhancement method [17,18]. A vector subspace technique usually has the following measurement step to improve of speech signal.…”
Section: Subspace Algorithmsmentioning
confidence: 99%
“…KLT is an optimal Eigen decomposition technique, but DCT is more computationally efficient. In general, the vector subspace [17,18] usually uses a Laplace model or Gaussian model to describe the signal subspace, and uses a Gaussian model to describe the noise subspace. In addition,the speech signal [17] degraded by uncorrelated additive noise based on the vector subspace of the noisy signal that can be decomposed into a signal plus noise subspace and the orthogonal noise subspace.…”
Section: Subspace Algorithmsmentioning
confidence: 99%
“…However, some researchers pointed out that there exists other appropriate speech PDF [8][9][10][11]. In 2005, Lotter and Vary have proposed an original speech spectral amplitude PDF.…”
Section: Lotter's Spectral Gainmentioning
confidence: 99%
“…Many speech enhancement methods have been established in decades [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]. These speech enhancement techniques can be classified to time domain methods and spectral domain methods.…”
Section: Introductionmentioning
confidence: 99%