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.
|Number of pages||5|
|Journal||IEEE Transactions on Audio, Speech and Language Processing|
|Publication status||Published - 2012|
- Linear predictive coding
- Long-term prediction
- Nonlinear filters
- Volterra series