Method for classification and application of filters for active noise control in hearing systems having at least one feedforward microphone and at least one feedback microphone, at least one loudspeaker, at least one integrated circuit comprising a memory and at least one processor unit, at least one feedback path described by a transfer function and at least one feedforward path described by a transfer function, comprising the steps of a) receiving an audio signal described as a feedback microphone signal from the at least one feedback microphone and an audio signal described as a feedforward microphone signal from the at least one feedforward microphone, b) estimating the transfer function of the feedback path by an adaptive algorithm based on the comparison of the feedback microphone signal and a loudspeaker signal, c) calculating various, not necessarily all, but at least one relevant property from the transfer function of the feedback path estimated in b), d) determining the level at the feedback microphone relative to the feedforward microphone, whereby e) a set of coefficients is selected by a classification algorithm on the basis of the relevant properties of the transfer function determined in c) and the ratio of the level at the feedback microphone to the feedforward microphone determined in d), either by outputting a discrete class associated with a set of filters stored in the memory located in the headphones, or by outputting a one-dimensional function selecting a set of filters stored in the memory located in the headphones, f) applying the set of coefficients of the filter selected in e) to the current feedback audio path, g) estimating the transfer function of the feedforward path by comparing the feedforward and feedback microphone signals determined in a), using an adaptive algorithm for estimating the transfer function of the feedforward path, h) calculating various, not necessarily all, but at least one relevant characteristic from the transfer function of the feedforward path estimated in g), i) determining a performance indicator by relating the feedback microphone signal determined in a) to the feedforward microphone signal, j) using the transfer function estimated in h) and the performance indicator determined in i) as inputs to a classification algorithm which uses them to select a set of coefficients, either by outputting a discrete class associated with a set of filters stored in the memory located in the headphone, or by outputting a one-dimensional function selecting a set of filters stored in the memory located in the headphone, k) applying the set of coefficients of the filter selected in j) to the current feedforward audio path l) and re-adjusting the filters by re-executing the method, either re-executing the entire method from point a) or adjusting only the feedforward filter, i.e. executing the method from point g). a) receiving an audio signal described as a feedback microphone signal from the at least one feedback microphone and an audio signal described as a feedforward microphone signal from the at least one feedforward microphone, b) estimating the transfer function of the feedback path by an adaptive algorithm based on the comparison of the feedback microphone signal and a loudspeaker signal, c) calculating various, not necessarily all, but at least one relevant property from the transfer function of the feedback path estimated in b), d) determining the level at the feedback microphone relative to the feedforward microphone, whereby e) a set of coefficients is selected by a classification algorithm on the basis of the relevant properties of the transfer function determined in c) and the ratio of the level at the feedback microphone to the feedforward microphone determined in d), either by outputting a discrete class associated with a set of filters stored in the memory located in the headphones, or by outputting a one-dimensional function selecting a set of filters stored in the memory located in the headphones, f) applying the set of coefficients of the filter selected in e) to the current feedback audio path, g) estimating the transfer function of the feedforward path by comparing the feedforward and feedback microphone signals determined in a), using an adaptive algorithm for estimating the transfer function of the feedforward path, h) calculating various, not necessarily all, but at least one relevant characteristic from the transfer function of the feedforward path estimated in g), i) determining a performance indicator by relating the feedback microphone signal determined in a) to the feedforward microphone signal, j) using the transfer function estimated in h) and the performance indicator determined in i) as inputs to a classification algorithm which uses them to select a set of coefficients, either by outputting a discrete class associated with a set of filters stored in the memory located in the headphone, or by outputting a one-dimensional function selecting a set of filters stored in the memory located in the headphone, k) applying the set of coefficients of the filter selected in j) to the current feedforward audio path l) and re-adjusting the filters by re-executing the method, either re-executing the entire method from point a) or adjusting only the feedforward filter, i.e. executing the method from point g).