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Speech Enhancement Using an Iterative Posterior NMF
New Frontiers in Brain-Computer Interfaces [Working Title]
Over the years, miscellaneous methods for speech enhancement have been proposed, such as spectral subtraction (SS) and minimum mean square error (MMSE) estimators. These methods do not require any prior knowledge about the speech and noise signals nor any training stage beforehand, so they are highly flexible and allow implementation in various situations. However, these algorithms usually assume that the noise is stationary and are thus not good at dealing with nonstationary noise types,doi:10.5772/intechopen.84976 fatcat:3iwcqaim2nedhfpilpn4te2lke