Learning Algorithms for the Cancellation of Old Recordings Noise

Czyzewski A, Supron C. Learning Algorithms for the Cancellation of Old Recordings Noise. In: AES Convention 96. Audio Engineering Society; 1994. Paper 3847. Available from: https://aes.org/publications/elibrary-page/?id=6385

@inproceedings{Czyzewski1994_6385,
  author = {Czyzewski, Andrzej and Supron, Cezary},
  title = {{Learning Algorithms for the Cancellation of Old Recordings Noise}},
  booktitle = {AES Convention 96},
  note = {Paper 3847},
  year = {1994},
  month = feb,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=6385}
}

TY  - CPAPER
TI  - Learning Algorithms for the Cancellation of Old Recordings Noise
AU  - Czyzewski, Andrzej
AU  - Supron, Cezary
T2  - AES Convention 96
M1  - Paper 3847
PY  - 1994
DA  - 1994/02/06
UR  - https://aes.org/publications/elibrary-page/?id=6385
PB  - Audio Engineering Society
LA  - en
AB  - The elaborated software package for digital restoration of sound provides a system of digital operations applied to the registered signal of old records or magnetic tapes in order to bring the sound image back to its initial form. Particular attention was paid to the detection and elimination of scratches, hiss and similar types of impulse noise. A learning algorithm based on neutral network simulation was applied to this task. Another learning algorithm implementing the Wiener adaptive filtering procedures was used to continuous noise suppression. Applied methods and obtained experimental results are presented.
ER  -