Low-order volterra long-term predictors

Vladimir Despotovic, Norbert Görtz, Zoran Peric

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)


Models based on linear prediction have been used for several decades in different areas of speech signal processing. While the linear approach has led to great advances in the last 40 years, it neglects nonlinearities present in the speech production mechanism. This paper compares the results of long-term nonlinear prediction based on second-order and third-order Volterra filters. Additional improvement can be obtained using fractional-delay long-term prediction. Experimental results reveal that the proposed method outperforms linear long-term prediction techniques in terms of prediction gain.

Original languageEnglish
Title of host publicationProceedings of 10th ITG Symposium on Speech Communication
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9783800734559
Publication statusPublished - 2012
Externally publishedYes
Event10th ITG Symposium on Speech Communication, ITGspeech 2012 - Braunschweig, Germany
Duration: 26 Sept 201228 Sept 2012

Publication series

NameProceedings of 10th ITG Symposium on Speech Communication


Conference10th ITG Symposium on Speech Communication, ITGspeech 2012


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