New Learning Algorithms for the Processing of Old Audio Recordings

Czyzewski A. New Learning Algorithms for the Processing of Old Audio Recordings. In: AES Convention 99. Audio Engineering Society; 1995. Paper 4078. Available from: https://aes.org/publications/elibrary-page/?id=7688

@inproceedings{Czyzewski1995_7688,
  author = {Czyzewski, Andrzej},
  title = {{New Learning Algorithms for the Processing of Old Audio Recordings}},
  booktitle = {AES Convention 99},
  note = {Paper 4078},
  year = {1995},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=7688}
}

TY  - CPAPER
TI  - New Learning Algorithms for the Processing of Old Audio Recordings
AU  - Czyzewski, Andrzej
T2  - AES Convention 99
M1  - Paper 4078
PY  - 1995
DA  - 1995/10/06
UR  - https://aes.org/publications/elibrary-page/?id=7688
PB  - Audio Engineering Society
LA  - en
AB  - Learning algorithms provide a powerful tool when used to eliminate impulse distortions affecting old records. Previously, a neural network simulation was tested with regard to the detection of scratches, hiss, and clicks. New experiments implemented another decision system based on the rough set method. Principles of this relatively new method of considering data are presented. Results of this approach to the sound restoration of old records are shown.
ER  -