ISCA Archive Eurospeech 1999
ISCA Archive Eurospeech 1999

Adaptive nonlinear prediction based on order statistics for speech signals

Tetsuya Shimamura, Haruko Hayakawa

This paper proposes a novel adaptive algorithm for nonlinear prediction of speech signals, which turns out to be the adaptation procedure for an order statistic LMS predictor. The LMS-L filter Pitas et al. addressed is modified to preserve the time information in the input vector for the adaptation, in which a coeficient matrix is utilized to update the predictor coeficients. Computer simulations demonstrate that the novel nonlinear predictor provides better performance than the Volterra quadratic predictor as well as the linear predictor.


doi: 10.21437/Eurospeech.1999-90

Cite as: Shimamura, T., Hayakawa, H. (1999) Adaptive nonlinear prediction based on order statistics for speech signals. Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999), 347-350, doi: 10.21437/Eurospeech.1999-90

@inproceedings{shimamura99_eurospeech,
  author={Tetsuya Shimamura and Haruko Hayakawa},
  title={{Adaptive nonlinear prediction based on order statistics for speech signals}},
  year=1999,
  booktitle={Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999)},
  pages={347--350},
  doi={10.21437/Eurospeech.1999-90}
}