Abstract: A statistical basic classification model of acoustic features generated for at least one reference object is automatically adapted by a data processing unit based on acoustic features of a noise generated by an object to be investigated to obtain an individually adapted statistical classification model. The data processing unit then classifies the state of the noise-generating object based on the individually adapted statistical classification model.

Abstract: A statistical basic classification model of acoustic features generated for at least one reference object is automatically adapted by a data processing unit based on acoustic features of a noise generated by an object to be investigated to obtain an individually adapted statistical classification model. The data processing unit then classifies the state of the noise-generating object based on the individually adapted statistical classification model.

Abstract: A device for recognizing bearing damage of a bearing (3), on which an object (4) which rotates at a rotational frequency is mounted, having at least one oscillation sensor (2) for converting an oscillation signal output by the bearing (3) into an electrical signal and having a calculation unit (8) for performing a first frequency transformation for multiple time windows of the oscillation signal to generate multiple time window spectra associated with the particular time windows and for performing a second frequency transformation for multiple frequency bands of the time window spectrograms to generate a multiband modulation spectrum, which, for modulation frequencies which are a function of the rotational frequency of the rotating object (4) because of bearing damage of the bearing (3), have signal amplitudes, the level thereof disclosing an extent of the bearing damage.

Abstract: The embodiments relate to a method for monitoring a traffic route for a means of transport of a predetermined kind, particularly for an aircraft on a lane at an airport. The method involves noise signals that occur in a section of the traffic route (2) being recorded with a sound pickup (6, . . . , 13) and evaluated such that a piece of localization information is ascertained which indicates whether a means of transport (1) of the predetermined kind is in the section of the traffic route (2). If the piece of localization information reveals that a means of transport (1) of the predetermined kind is in the section, the admissibility of the means of transport (1) to be in the section is checked on the basis of one or more prescribed criteria, whereupon an appropriate checking result is output. The method according to the embodiments is distinguished in that the evaluation of noise signals can be used to achieve reliable localization of means of transport independently of weather conditions.

Abstract: A voice-based classification method authenticates a user for a service which is reserved for a predetermined user group and is provided via a communication link in response to a request received from the user over a first communication link in an access control unit for access to the service. Over a second communication link a voice connection between the user and a speech processing unit is established. In the speech processing unit the voice of the user is recorded using a speech sample and at least a first criterion is checked, with the first criterion being fulfilled if the user is assigned to the predetermined user group. An age and or gender classification method may be used, with the predetermined user group being specified by its age and its gender. The service may be Internet-based, for example a chat room, in which persons of a specific age group interact.