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Scenario Classification in Hearing Aids with the Help of an Acceleration Sensor

IP.com Disclosure Number: IPCOM000205600D
Original Publication Date: 2011-Mar-31
Included in the Prior Art Database: 2011-Mar-31
Document File: 1 page(s) / 62K

Publishing Venue

Siemens

Related People

Juergen Carstens: CONTACT

Abstract

For user of hearing aids some frequencies are unpleasant. Also the volume of noises affects the hearing quality. Therefore with the help of algorithms detecting audible input signals, modern hearing aids are fitted to different audible scenarios. Thus a good hearing quality is guaranteed in every situation. There is a classification of different audible scenarios, such as for example speech in quiet, speech in noise, music or in car. This classification depends on the analysis of the audible input signals and is therefore not always reliable.

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Scenario Classification in Hearing Aids with the Help of an Acceleration Sensor

Idea: Sebastian Pape, DE-Erlangen

For user of hearing aids some frequencies are unpleasant. Also the volume of noises affects the hearing quality. Therefore with the help of algorithms detecting audible input signals, modern hearing aids are fitted to different audible scenarios. Thus a good hearing quality is guaranteed in every situation. There is a classification of different audible scenarios, such as for example speech in quiet, speech in noise, music or in car. This classification depends on the analysis of the audible input signals and is therefore not always reliable.

In the following a novel solution is proposed, which enables a classification of different audible scenarios, with the help of an acceleration sensor implemented in the hearing aid. The amount and the direction of the user's movements are detected and used as additional information to classify the right audible scenario.

One advantage of the proposed solution is seen in the high reliability of classification. If the hearing aid user is in a car, for example, then mostly horizontal movements of the head are detected. These horizontal movements are used as additional information to classify the right audible environment (here: in car) in a more reliable way. Another advantage is the detection of untra...