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- W2014016783 abstract "In this paper, we propose a new approach for addressing music signal separation based on the generalized Bayesian estimator with automatic prior adaptation. This method consists of three parts, namely, the generalized MMSE-STSA estimator with a flexible target signal prior, the NMF-based dynamic interference spectrogram estimator, and closed-form parameter estimation for the statistical model of the target signal based on higher-order statistics. The statistical model parameter of the hidden target signal can be detected automatically for optimal Bayesian estimation with online target-signal prior adaptation. Our experimental evaluation can show the efficacy of the proposed method." @default.
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- W2014016783 date "2014-05-01" @default.
- W2014016783 modified "2023-09-23" @default.
- W2014016783 title "Music signal separation based on Bayesian spectral amplitude estimator with automatic target prior adaptation" @default.
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- W2014016783 doi "https://doi.org/10.1109/icassp.2014.6855056" @default.
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