Third International Conference on Spoken Language Processing (ICSLP 94)

Yokohama, Japan
September 18-22, 1994

Some Fast Higher Order AR Estimation Techniques Applied to Parametric Wiener Filtering

Josep Salavedra (1), Enrique Masgrau (2), Asuncidn Moreno (1), Joan Estarellas (1), Javier Hernando (1)

(1) Department of Signal Theory and Communications, Universitat Politecnica de Catalunya, Barcelona. Spain
(2) Department of Electrical Engineering and Computers, Universidad de Zaragoza, Zaragoza, Spain

Some Speech Enhancement algorithms based on the iterative Wiener filtering Method due to Lim-Oppenheim [2] 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 tiying 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 in 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.

Full Paper

Bibliographic reference.  Salavedra, Josep / Masgrau, Enrique / Moreno, Asuncidn / Estarellas, Joan / Hernando, Javier (1994): "Some fast higher order AR estimation techniques applied to parametric wiener filtering", In ICSLP-1994, 1655-1658.