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- W2052337062 abstract "The noise in musical audio recordings is assumed to obey an α-stable distribution. A sparse linear regression framework with structured priors is elaborated. Markov Chain Monte Carlo is used to infer the clean music signal model and the α-stable noise distribution parameters. The musical audio recordings are processed both as a whole and in segments by using a sine-bell window for analysis and overlap-and-add reconstruction. Experiments on noisy Greek folk music excerpts demonstrate better denoising under the α-stable noise assumption than the Gaussian white noise one, and when processing is performed in segments rather than in full recordings." @default.
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- W2052337062 date "2014-08-01" @default.
- W2052337062 modified "2023-09-26" @default.
- W2052337062 title "Greek folk music denoising under a symmetric α-stable noise assumption" @default.
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- W2052337062 doi "https://doi.org/10.1109/qshine.2014.6928654" @default.
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