Abstract
A simultaneous speech detection and estimation algorithm under speech presence uncertainty is proposed for noisy speech enhancement. By minimizing a novel cost function that takes into account both detection and estimation errors in magnitude squared spectrum domain, a generalization of the minimum square mean square (MMSE) estimator is derived. By adjusting the cost parameters, the tradeoff between speech distortion caused by noise false detection and missed detection of speech components can be availably controlled. The simulation results show that the proposed algorithm is easy to implement, and the enhanced speech signal is closer to the clean speech signal than the MMSE estimators of the magnitude squared spectrum.
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