@INPROCEEDINGS { Rsds3525,
author = {Kostek, Bozena and Czyzewski, Andrzej}, 
title = {Rough Set-Based Filtration of Sound Applicable to Hearing Prostheses}, 
booktitle = {Proceedings of the Fourth International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery}, 
conference = {International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery}, 
pages = {168--175}, 
publisher = {Japanese Research Group on Rough Sets}, 
address = {Tokyo, Japan}, 
month = {November}, 
year = 1996, 
editor = {Tsumoto, Shusaku and Kobayashi, Satoshi and Yokomori, Takashi and Tanaka, Hiroshi and Nakamura, Akira}, 
isbn = {4-947717-01-7}, 
abstract = {The rough set method provides the rule-based decision system allowing one to quickly build a knowledge base of signal and of distortions in order to separate eligible spectrum components from parasite noises. This issue is related to the hearing aid performance, i.e.: background noise which in many cases is of a high level and a so-called cocktail-party effect, the letter representing a mixture of signals coming from the back and from sides of the head of a prosthesis wearer. As results from experiments performed by the authors, the noise filtration algorithm based on the rough set method may be exploited in digital hearing aids and in cochlear implants. Some details of the elaborated algorithms are presented and discussed in the paper.}, 
keywords = {rough sets, knowledge discovery, hearing aids, cochlear implants, }, 
}