@inproceedings{37834d5328fe41e081a650e3946a1428,
title = "Adaptive noise reduction using discrimination functions",
abstract = "A method of noise reduction based on discrimination function minimization (DFM) is presented. This method requires the definition of a function that discriminates clean from noisy speech. A particular discrimination function is derived for a certain type of noise, such that the minimization of this function reduces the noise in the noisy speech signal. The DFM noise reduction method does not assume stationarity of the noise over an entire speech period. It is shown how an abrupt change in piecewise-stationary noise can be tracked. The method has been successfully applied to the reduction of automobile noise.",
author = "Walter Etter and Moschytz, {George S.} and Daniel Graupe",
year = "1991",
language = "אנגלית",
isbn = "078030033",
series = "Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing",
publisher = "Publ by IEEE",
pages = "965--968",
editor = "Anon",
booktitle = "Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing",
note = "Proceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91 ; Conference date: 14-05-1991 Through 17-05-1991",
}