论文信息 - Predictive deconvolution and kurtosis maximization for speech dereverberation

Predictive deconvolution and kurtosis maximization for speech dereverberation

A predictive deconvolution, based on the linear predictive (LP) residual of speech, is used to extract an estimate of the inverse of the minimum phase component of a room impulse response. This inverse is applied as a prefiltering stage to a kurtosis maximizing (KM) adaptive filter to equalise the remaining non-minimum phase component. It was found that this improved the stability and performance of the KM filter for male speech but it was found that when the first stage LP order was increased the performance improved for both male and female speech.

Stefan Bilbao | Colin Cowan | Izzet Ozcelik | David T. Fee

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