Abstract
Audio information can be represented in a wide range of formats that need to be further processed. This is the case of data which are obtained from devices addressed to measure human listening levels. The current paper describes the computer-based analysis of different types of data related to the listening level measures coming from TLTS (Tomatis Listening Test System) devices. Such data can be classified into several formats such as images displaying listening graphical curves or spreadsheets collecting digitized values from those device measurements. In the first case, image analysis techniques were used to process listening curves gathered through the TLTS tests in the context of a collaboration project with the Isora Solutions company where the proposed system was applied. In the case of the spreadsheet data, a web-based tool was developed to complement the information processing of listening data sources which were gathered from the TLTS devices. The obtained results show the suitability of the implemented software tools to analyze different kind of information associated to the measurement of listening levels in the TLTS.
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Acknowledgements
Thanks to the support of the Research Project “Neurosensorial Stimulation for the Integration of English Language” Universitat Politècnica de València & Isora Solutions, 2016, the Computer Engineering department (DISCA) and the ETSINF (Escola Tècnica Superior d’Enginyeria Informàtica) at the Universitat Politècnica de València.
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Buendía-García, F., Agustí-Melchor, M., Pérez-Guillot, C. (2019). Computer-Based Analysis of Tomatis Listening Test System Audio Data. In: Obaidat, M., Cabello, E. (eds) E-Business and Telecommunications. ICETE 2017. Communications in Computer and Information Science, vol 990. Springer, Cham. https://doi.org/10.1007/978-3-030-11039-0_13
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