P.A. Naylor

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We present a reverberant speech enhancement algorithm which, operating on the linear prediction residual of spatially averaged multi- microphone observations, utilizes temporal averaging of neighbouring larynx cycles. The enhanced larynx cycles are used to design an equalization filter, which is applied in order to dereverberate both voiced and unvoiced(More)
We propose a noise robust adaptive blind multichannel identification algorithm for acoustic impulse responses. It has been known that the normalized multichannel frequency domain least-mean-square (NMCFLMS) algorithm misconverges under low signal-to- noise ratio. The coefficients of NMCFLMS converge initially toward the true impulse response after which(More)
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