This paper presents the Multi-Channel Multi-Pulse (MC MP) algorithm for the enhancement of speech degraded by reverberations and additive noise. The enhanced speech is synthesized from a sequence of impulses exciting a linear predictive filter.The excitation signal is computed from a nonlinear process which uses impulse clustering of the multi-channel speech data to discriminate portions of the linear prediction residual produced by the desired speech signal from those due to multipath effectsand uncorrelated noise. The MCMP algorithm is shown to be capable of identifying and attenuating reverberant portions of the speech signal as well as reducing the effects of additive noise.
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