Nonlinear long-term prediction of speech based on truncated Volterra series

Vladimir Despotovic*, Norbert Goertz, Zoran Peric

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

17 Citations (Scopus)


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.

Original languageEnglish
Article number2169788
Pages (from-to)1069-1073
Number of pages5
JournalIEEE Transactions on Audio, Speech and Language Processing
Issue number3
Publication statusPublished - 2012
Externally publishedYes


  • Linear predictive coding
  • Long-term prediction
  • Nonlinear filters
  • Volterra series


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