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Some kinds of audio information are usually represented by images that need to be processed. This is the case of audiometric signals which are obtained from some devices that hardly produce quantifiable data. The current paper describes a computer-based framework able to process audiometer images in order to extract information which can be useful to analyse subject's hearing levels. Such information is complemented with additional data sources that allow a more comprehensive view of hearing issues either disorder symptoms or treatment results. These data sources are provided by the TLTS (Tomatis Listening Test System) device. The proposed framework is based on the use of OpenCV libraries that provide image processing functionalities together with scripts to manage audiometry spreadsheets. An experiment has been developed to test auditory stimulations in the context of a collaboration project with the Isora Solutions company where the proposed system was applied. Obtained results show the framework accuracy and adequacy to retrieve and process information from several audiometric data sources.

A Computer-based Framework to Process Audiometric Signals using the Tomatis Listening Test System