Single-microphone speech dereverberation is a challenging problem of de-convolving the reverberation produced by the room impulse response from the speech signal, when only one observation of the reverberant signal (one microphone) is available. By using linear prediction (LP)-residuals and spectral subtraction as two promising tools for dereverberation, a new technique is proposed. The first stage of the proposed technique consists of pre-whitening followed by a delayed long-term LP filtering whose kurtosis or skewness of LP-residuals is maximized to control t he weight updates of the inverse filter. A nonlinear spectral subtraction scheme is the second stage of the proposed technique. It is shown that that the proposed algorithms outperform the existing major single-microphone methods in terms of a number of qualitative and quantitative measures.
['Ali Baghaki', 'M. Omair Ahmad', 'M.N.S. Swamy']
A new two-stage method for single-microphone speech dereverberation