Learning Algorithms for Audio Signal Enhancement, Part 1: Neural Network Implementation for the Removal of Impulse Distortions

Czyzewski A. Learning Algorithms for Audio Signal Enhancement, Part 1: Neural Network Implementation for the Removal of Impulse Distortions. J Audio Eng Soc. 1997;45(10):815-831. Available from: https://aes.org/publications/elibrary-page/?id=7839

@article{Czyzewski1997_7839,
  author = {Czyzewski, Andrzej},
  title = {{Learning Algorithms for Audio Signal Enhancement, Part 1: Neural Network Implementation for the Removal of Impulse Distortions}},
  journal = {Journal of the Audio Engineering Society},
  volume = {45},
  number = {10},
  pages = {815--831},
  year = {1997},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=7839}
}

TY  - JOUR
TI  - Learning Algorithms for Audio Signal Enhancement, Part 1: Neural Network Implementation for the Removal of Impulse Distortions
AU  - Czyzewski, Andrzej
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 45
IS  - 10
SP  - 815
EP  - 831
PY  - 1997
DA  - 1997/10/06
UR  - https://aes.org/publications/elibrary-page/?id=7839
PB  - Audio Engineering Society
LA  - en
AB  - Learning algorithms were implemented for the elimination of impulse distortions found in old records and in transmitted audio signals. Neural network simulations were tested with regard to the detection of scratches and clicks. Some special algorithms for the interpolation of distorted signal fragments were studied. Applied methods, results of musical signal processing, and conclusions are presented.
ER  -