Abstract: A method for automatically setting at least one signal processing parameter of a hearing device. The immediate surroundings of the hearing device are examined for the presence of at least one node of a wireless communication network. Characteristic information of a detected node is ascertained for a node that has been found to be present and the characteristic information for the detected node is compared with a first dataset of first characteristic information that was respectively stored beforehand for nodes that are marked as known. The comparison results are used to characterize the node that has been detected as present as a known node or as an unknown node on the basis of the characteristic information. The ascertained characteristic information of the detected node is used as a basis for setting the at least one parameter for the signal processing of the hearing device.

Abstract: In a method for the training of a listening situation classifier for a hearing aid, a user is presented with a number of acoustic signals by use of a terminal device, which prompts the user to indicate the signal source of the signal or the particular presented signal. The training data is adapted for the listening situation classifier in dependence on the user's indication of the presented signal or one of the possibly several signals presented and updates the listening situation classifier by use of the training data.

Abstract: A method for automatically setting at least one signal processing parameter of a hearing device. The immediate surroundings of the hearing device are examined for the presence of at least one node of a wireless communication network. Characteristic information of a detected node is ascertained for a node that has been found to be present and the characteristic information for the detected node is compared with a first dataset of first characteristic information that was respectively stored beforehand for nodes that are marked as known. The comparison results are used to characterize the node that has been detected as present as a known node or as an unknown node on the basis of the characteristic information. The ascertained characteristic information of the detected node is used as a basis for setting the at least one parameter for the signal processing of the hearing device.

Abstract: In a method for the training of a listening situation classifier for a hearing aid, a user is presented with a number of acoustic signals by use of a terminal device, which prompts the user to indicate the signal source of the signal or the particular presented signal. The training data is adapted for the listening situation classifier in dependence on the user's indication of the presented signal or one of the possibly several signals presented and updates the listening situation classifier by use of the training data.