Reference : Design of nonlinear predictors for adaptive predictive coding of speech signals
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/40894
Design of nonlinear predictors for adaptive predictive coding of speech signals
English
Despotovic, Vladimir mailto [University of Belgrade > Technical Faculty in Bor]
Peric, Zoran [University of Nis > Faculty of Electronic Engineering]
Nov-2013
Proceedings of the 21st Telecommunications Forum Telfor (TELFOR)
IEEE
490-497
Yes
Yes
International
978-1-4799-1420-3
21st Telecommunications Forum Telfor (TELFOR)
from 26-11-2013 to 28-11-2013
Belgrade
Serbia
[en] Nonlinear speech processing ; Pitch period ; Prediction ; Volterra series
[en] Linear predictive coding is probably the most frequently used technique in speech signal processing. Its main advantage comes from the analogy of the simplified vocal tract model with speech production system. However, this neglects nonlinearities in the speech production process. The paper deals with nonlinear prediction of speech based on truncated Volterra series. Long-term one-tap Volterra predictor is designed in order to decrease computational complexity. Further improvements are obtained using frame/subframe structure and fractional delay.
http://hdl.handle.net/10993/40894
10.1109/TELFOR.2013.6716274
https://ieeexplore.ieee.org/document/6716274?tp=&arnumber=6716274&url=http:%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6716274

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