Non-linear predictor based on ANN in speech coding

@article{Li2004NonlinearPB,
  title={Non-linear predictor based on ANN in speech coding},
  author={Linsheng Li and Zhiyi Sun and Anhong Wang and Zhihong Li},
  journal={ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004.},
  year={2004},
  volume={2},
  pages={1098-1103 Vol. 2}
}
In this paper, non-linear predictors based on different artificial neural network (ANN) are compared. General radical basis function (GERBF) neural network, a modified RBF network, is introduced. From the comparison with BP, RNN and RBF, it is obvious that GERBF has priority in the prediction of speech signal. The experiment results show: the speech coding systems based on ANN have better synthesized speech than ITU's G721 and the speech coding system based on GERBF has higher mean segmental… CONTINUE READING

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
1 Extracted Citations
3 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.

Referenced Papers

Publications referenced by this paper.
Showing 1-3 of 3 references

code - excited nonlinear predictive speech c odi n g algorithm based on recurrent neural network ,

  • Ma Ni, Wei Gang a
  • Journal of Electronics
  • 2000

Houjie non-linear prediction based on ANN and speech coding, ACTA electronica SINICA

  • Yang Zhen, Bi
  • IEEE transactions on neural,
  • 1999
1 Excerpt

Nonlinear short-tenn predictoin speech coding

  • Jes Thyssen, Henrik Nielsen, Steffen Duus Hansen
  • Proceedings of International Conference on Signal…
  • 1994
1 Excerpt

Similar Papers

Loading similar papers…