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Commonly used speech enhancement algorithms estimate the power spectral density of the noise to be removed, or make a decision about the presence of speech in a particular frame, and estimate the clean speech based on these. Errors in a noise estimate or speech activity decision may result in undesirable artifacts, and some errors may be more damaging than others. Robust Bayesian Analysis is used...
This paper proposes a two stage hybrid speech enhancement system with nonuniform subbands. Frequency bins after Fourier transform are nonuniformly grouped to reduce the computations in calculating the spectral gain. First stage includes a soft decision gain modification and applied to the Ephraim-Malah gain function based on minimum mean square error estimation (MMSE) and a psychoacoustic masking...
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