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Zeitschriftenartikel:

V. Despotovic, N. Görtz, Z. Peric:
"Nonlinear Long-Term Prediction of Speech Based on Truncated Volterra Series";
IEEE Transactions on Audio, Speech, and Language Processing, 20 (2012), 3; S. 1069 - 1073.



Kurzfassung deutsch:
Previous studies of nonlinear prediction of speech have been mostly focused on short-term prediction. This paper presents long-term nonlinear prediction based on second-order Volterra filters. It will be shown that the presented predictor can outperform conventional linear prediction techniques in terms of prediction gain and "whiter" residuals.

Kurzfassung englisch:
Previous studies of nonlinear prediction of speech have been mostly focused on short-term prediction. This paper presents long-term nonlinear prediction based on second-order Volterra filters. It will be shown that the presented predictor can outperform conventional linear prediction techniques in terms of prediction gain and "whiter" residuals.

Schlagworte:
Linear predictive coding, long-term prediction, nonlinear filters, volterra series


"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/TASL.2011.2169788


Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.