References of "Goertz, Norbert"
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See detailImproved Non-Linear Long-Term Predictors based on Volterra Filters
Despotovic, Vladimir UL; Goertz, Norbert; Peric, Zoran

in Proceedings ELMAR-2012 (2012, September)

Speech prediction is extensively based on linear models. However, components generated by nonlinear effects are also contained in speech signals, which is neglected using linear techniques. This paper ... [more ▼]

Speech prediction is extensively based on linear models. However, components generated by nonlinear effects are also contained in speech signals, which is neglected using linear techniques. This paper presents long-term nonlinear predictor based on second-order Volterra filters that is shown to be superior to linear long-term predictor with only a minimal increase in complexity and the number of coefficients. It can be used connected in cascade with short-term linear predictor. The frame/subframe structure is proposed, where each frame is divided into four subframes. Second order Volterra long-term prediction is applied to each subframe separately. [less ▲]

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See detailLow-Order Volterra Long-Term Predictors
Despotovic, Vladimir UL; Goertz, Norbert; Peric, Zoran

in Proceedings of the 10. ITG Symposium on Speech Communication (2012, September)

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 ... [more ▼]

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 fractionaldelay long-term prediction. Experimental results reveal that the proposed method outperforms linear long-term prediction techniques in terms of prediction gain. [less ▲]

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See detailNonlinear long-term prediction of speech based on truncated Volterra series
Despotovic, Vladimir UL; Goertz, Norbert; Peric, Zoran

in IEEE Transactions on Audio, Speech and Language Processing (2012), 20(3), 1069-1073

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 ... [more ▼]

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. [less ▲]

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