1. Some fast higher order ar estimation techniques applied to parametric wiener filtering
- Author
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Salavedra Molí, Josep, Masgrau Gómez, Enrique José, Moreno Bilbao, M. Asunción, Estarellas, J, Hernando Pericás, Francisco Javier, Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, and Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
- Subjects
Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic [Àrees temàtiques de la UPC] ,Processament de la parla ,Algorismes ,Speech processing systems ,Enginyeria de la telecomunicació [Àrees temàtiques de la UPC] ,Algorithms - Abstract
Some Speech Enhancement algorithms based on the iterative Wiener filtering Method due to L1m-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 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 [1] with a linear combination of AR coefficients, belonging to two consecutive overlapped frames, to assess a less disturbed speech estimation.
- Published
- 2004