Learning Algorithms for Audio Signal Enhancement, Part 2: Implementation of the Rough-Set Method for the Removal of Hiss

Czyzewski A. Learning Algorithms for Audio Signal Enhancement, Part 2: Implementation of the Rough-Set Method for the Removal of Hiss. J Audio Eng Soc. 1997;45(11):931-943. Available from: https://aes.org/publications/elibrary-page/?id=7837

@article{Czyzewski1997_7837,
  author = {Czyzewski, Andrzej},
  title = {{Learning Algorithms for Audio Signal Enhancement, Part 2: Implementation of the Rough-Set Method for the Removal of Hiss}},
  journal = {Journal of the Audio Engineering Society},
  volume = {45},
  number = {11},
  pages = {931--943},
  year = {1997},
  month = nov,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=7837}
}

TY  - JOUR
TI  - Learning Algorithms for Audio Signal Enhancement, Part 2: Implementation of the Rough-Set Method for the Removal of Hiss
AU  - Czyzewski, Andrzej
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 45
IS  - 11
SP  - 931
EP  - 943
PY  - 1997
DA  - 1997/11/06
UR  - https://aes.org/publications/elibrary-page/?id=7837
PB  - Audio Engineering Society
LA  - en
AB  - Learning algorithms were implemented for the elimination of strong hiss found in old records and of impulse noise affecting transmitted audio signals. The rough-set method was tested with regard to the automatic setting of the cutoff threshold in the spectral filtration of noisy audio. Applied methods, results of musical signal processing, and conclusions are presented.
ER  -