TY - GEN
T1 - Design of nonlinear predictors for adaptive predictive coding of speech signals
AU - Despotovic, Vladimir
AU - Peric, Zoran
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Nonlinear speech processing
KW - Pitch period
KW - Prediction
KW - Volterra series
UR - http://www.scopus.com/inward/record.url?scp=84894316506&partnerID=8YFLogxK
U2 - 10.1109/TELFOR.2013.6716274
DO - 10.1109/TELFOR.2013.6716274
M3 - Conference contribution
AN - SCOPUS:84894316506
SN - 9781479914197
T3 - 2013 21st Telecommunications Forum Telfor, TELFOR 2013 - Proceedings of Papers
SP - 490
EP - 497
BT - 2013 21st Telecommunications Forum Telfor, TELFOR 2013 - Proceedings of Papers
T2 - 2013 21st Telecommunications Forum Telfor, TELFOR 2013
Y2 - 26 November 2013 through 28 November 2013
ER -