Some fast higher order ar estimation techniques applied to parametric wiener filtering
Tipus de documentText en actes de congrés
Condicions d'accésAccés obert
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.