Classification of Sound Environments for Hearing Aid Applications |
Christine Oldenborg Voetmann
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| Abstract | The goal of this project is to create a Matlab based framework for sound environment classifi cation including an investigation of the most robust features for classi fication of various sound environments. Hearing aids use different ampli fication strategies targeted at different situations/ sound environments. The different amplifi cation strategies are normally chosen by the user with a remote control or via a program switch mounted on the hearing aid. Modern hearing aids contain various detectors which are used to automatically change a number of parameters of the hearing aid. The detectors are typically not fully descriptive for the sound environment. This project is seeking to improve the classi fication of the various sound environments relevant for the hearing aid user and focus is on two classes; car environment against miscellaneous environments. The final framework is build up by a number of sound files covering the different sound environments, a list of features is confi gured from the openSMILE toolkit [12] and a classification tree is used as the classifying algorithm. By using the build robust framework a sensitivity of 91:6% 4:69% and a specifi city of 96:44%3:13% is achieved, but an expansion of the framework is recommended before an implementation in a hearing aid. |
| Type | Master's thesis [Academic thesis] |
| Year | 2012 |
| Publisher | Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk |
| Address | Asmussens Alle, Building 305, DK-2800 Kgs. Lyngby, Denmark |
| Series | IMM-M.Sc.-2012-43 |
| Note | Supervised by Associate Professor Jan Larsen, jl@imm.dtu.dk, DTU Informatics |
| Electronic version(s) | [pdf] |
| Publication link | http://www.imm.dtu.dk/English.aspx |
| BibTeX data | [bibtex] |
| IMM Group(s) | Intelligent Signal Processing |