Some Speech Enhancement algorithms based on the iterative Wiener filtering Method due to L1m-Oppenheim  are presented. In the original Lim-Oppenheim algorithm, speech AR estimation is carried out using classic second-order analysis, but our algorithms consider a more robust AR modelling. Two different strategies of speech AR estimation are presented and both estimators are trying to see as less amount of noise as possible. First one uses a previous One-Sided Autocorrelation computation, that 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  with a linear combination of AR coefficients, belonging to two consecutive overlapped frames, to assess a less disturbed speech estimation.
CitacióSalavedra, J., Masgrau, E., Moreno, A., Estarellas, J., Hernando, J. Some fast higher order ar estimation techniques applied to parametric wiener filtering. A: International Conference on Spoken Language Processing. "ICSLP 94: 1994 International Conference on Spoken Language Processing: September 18-22, 1994: Pacific Convention Plaza Yokohama (PACIFICO), Yokohama, Japan". Yokohama: 2004, p. 1655-1658.