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- W2368044215 abstract "Speech enhancement is an efficient method in removing noises. The aim of speech enhancement is resuming the pure speech signal fromthe speech signals containing noise to a greatextent. In order to solve the problem of speech enhancement in noise environment, a newspeech enhancement method was proposed. This method models the distribution of waveletcoefficients as an adaptive Gaussian mixture mode1. This model takes into accountintra scale dependencies between wavelet coefficients. Based on this model in a Bayesian framework, a spatially adaptive Bayesian shrinkage function was obtained and each modified coefficient was decided separately. Simulation results showthis algorithm is effective in reducing the noise; this algorithm possesses good performance both in objective and subjective tests, so it can be used in speech recognition and speech coding." @default.
- W2368044215 created "2016-06-24" @default.
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- W2368044215 date "2009-01-01" @default.
- W2368044215 modified "2023-09-26" @default.
- W2368044215 title "A speech enhancement method based on adaptive Gaussian mixture model" @default.
- W2368044215 hasPublicationYear "2009" @default.
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