Some fast higher order AR estimation techniques applied to parametric wiener filtering

Some Speech Enhancement algorith~s based on t.he iterative Wiener filtering Method due to L1m-Oppenhe~m [2] are presented. In the original Lim-Oppenhei~ algorithm, speech AR estimation is carried out u.smg classic second-order analysis, but our algorithms consider a more robust AR modelling. Two different str~tegies of spe~ch AR estimation are presented and both estimators are trymg to see as less amount of noise as possible. First one uses a previous One-Sided Autocorrelation computation, t~at is a pole-preserving function, and the actual SNR m the second-order LPC analysis is increased. Second one combines advantages of Higher-Order Statistics [1] with a linear combination of AR coefficients, belonging to two consecutive overlapped frames, to assess a less disturbed speech estimation.