Audio Signal Reconstruction Using Cartesian Genetic Programming Evolved Artificial Neural Network (CGPANN)

@article{Khan2017AudioSR,
  title={Audio Signal Reconstruction Using Cartesian Genetic Programming Evolved Artificial Neural Network (CGPANN)},
  author={Nadia Masood Khan and Gul Muhammad Khan},
  journal={2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA)},
  year={2017},
  pages={568-573}
}
We propose a novel audio signal reconstruction model that makes use of a non-linear estimation algorithm called Cartesian Genetic Programming evolved Artificial Neural Network (CGPANN). CGPANN estimates the non-linear graphs of audio signals with much better accuracy than its counterparts: the interpolation and extrapolation. We have compared them in terms… CONTINUE READING