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• W2912532094 abstract "This work addresses speech denoising problem in the presence of Gaussian noise based on group sparse representation. In this paper, the short-time Fourier transform (STFT) coefficients are viewed as an image in the time-frequency domain. In doing so, the group sparse representation denoising method is successfully applied to perform speech enhancement. To efficiently solve the optimization problem, the low-rank approximation model is developed. Numerical studies based on NOIZEUS dataset demonstrate the superior performance of the proposed estimation algorithm." @default.
• W2912532094 created "2019-02-21" @default.
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• W2912532094 date "2018-11-01" @default.
• W2912532094 modified "2023-10-18" @default.
• W2912532094 title "Speech denoising based on Group Sparse Representation in the case of Gaussian Noise" @default.
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• W2912532094 doi "https://doi.org/10.1109/icdsp.2018.8631594" @default.
• W2912532094 hasPublicationYear "2018" @default.
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