Method for operating a hearing device, and hearing device
A hearing device has a signal processor which has an adjustable parameter that has a given setting at a given time. The parameter is set depending on the situation by selecting a setting, depending on an environmental situation and by a learning machine. A current setting of the parameter can be rated by feedback from a user. In a first training procedure the learning machine is passively trained by negative feedback signals, by rating feedback from the user as dissatisfaction with the current setting and by assuming the user's satisfaction with the current setting as long as no feedback is given. In a second training procedure the learning machine is trained by changing the current setting independently of the feedback from the user and in spite of an assumed satisfaction with the current setting, so that the user is offered a different setting which can then be rated by feedback.
1. A method for operating a hearing device having a signal processor with at least one adjustable parameter having a given setting at a given time, which comprises the steps of:
generating the adjustable parameter according to a situation by selecting a setting for the adjustable parameter depending on a current environment situation, by using a learning machine;
rating a current setting of the adjustable parameter rated by feedback of a user of the hearing device;
passively training the learning machine in a first training procedure by use of negative feedback, being the feedback from the user being rated as dissatisfaction with the current setting and by assuming the user to be satisfied with the current setting as long as no said feedback is given; and
additionally training the learning machine in a second training procedure by changing the current setting independently of the feedback from the user and in spite of an assumed satisfaction with the current setting, so that the user is offered a different setting which can then be rated by the feedback, wherein the different setting is selected depending on a previous rating of the setting compared to other settings.
2. The method according to claim 1 , wherein in an event of user satisfaction with the setting the learning machine increases a rating of the setting, and decreases the rating in an event of user dissatisfaction.
3. The method according to claim 1 , wherein the learning machine automatically assumes user satisfaction with the current setting if no said feedback has been issued over a certain period of time.
4. The method according to claim 1 , wherein the second training procedure of the learning machine is passive, by not actively eliciting the feedback from the user.
5. The method according to claim 1 , wherein in the second training procedure, the different setting differs from the current setting by no more than 10% higher or 10% lower.
6. The method according to claim 1 , wherein in the second training procedure, the different setting is selected depending on the previous rating of the setting by other users.
7. The method according to claim 1 , which further comprises carrying out the first and the second training procedure during normal operation of the hearing device.
8. The method according to claim 1 , which further comprises actively training the learning machine in a third training procedure by eliciting the feedback from the user to rate the current setting.
9. The method according to claim 1 , wherein the feedback consists of the user changing the adjustable parameter.
10. The method according to claim 1 , wherein the feedback includes one of the following actions by the user: changing a volume of the hearing device, changing a program of the hearing device, and changing a focus of the hearing device.
11. The method according to claim 1 , wherein the learning machine is integrated into the hearing device.
12. A hearing device, comprising:
a signal processing unit configured to carry out a method according to claim 1 .