Phonak Ag

Sonova Ag

Valentin Chapero-Rueda

Stefan Launer

Andi Vonlanthen

Hilmar Meier

Michael Boretzki

Silvia Allegro-Baumann

Stefan Haenggi

Nail Cadalli

Lukas Florian Erni

A telephone handset (), e.g. a mobile phone, is equipped with an add-on module (). Thereby, the module () comprises a microphone unit () which is operated instead of the microphone unit intrinsically provided in the handset (). Further, the module () comprises a short-range wireless transmission unit () which is operated instead of a speaker unit () which is intrinsically provided in the handset (). The short-range wireless communication unit () establishes communication with a respective short-range wireless communication unit () in a hearing device () as soon as a distance between the telephone handset () and the hearing device () drops below a predetermined threshold value as detected by a distance detection unit ().

Telephone to hearing device communication

In a method for manufacturing a hearing device, by registering characteristics of an individual (I) a personality vector (K(C)) is established in a fitting machine. The personality vector (K(C)) of the individual (I) momentarily involved is compared with stored personality vectors (K(C) to K(C)). That stored personality vector which is most similar to that of the individual (I) is selected and therefrom a personality profile (PP) which is assigned to such personality vector. There is assigned to the personality profile which accords to the most similar personality vector, a respective fitting vector which controls subsequent manufacturing of the hearing device.

Method for manufacturing a hearing device based on personality profiles

A method to adjust parameters of a transfer function of a hearing device is disclosed, the method comprising the steps of extracting features of an input signal fed to the hearing device, classifying the extracted features into one of several possible classes, selecting a class corresponding to a best estimate of a momentary acoustic scene, adjusting at least some of the parameters of the transfer function in accordance with the selected class representing the best estimated momentary acoustic scene, and training the hearing device to improve classification of the extracted feature or the best estimate of the momentary acoustic scene, respectively, during regular operation of the hearing device. As a result, the hearing device does not only improve its behavior when new data is presented lying outside of known training data, but the hearing device is also better and faster adapted to most common acoustic scenes, with which the hearing device user is confronted.

Method to adjust parameters of a transfer function of a hearing device as well as hearing device

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Wollerau, Switzerland

Valentin Chapero-Rueda