This GitHub repository is the code accompaniment of the following paper:
An educational tool for hearing aid compression fitting via a web-based adjusted smartphone app
Nasim Alamdari, Edward Lobarinas, and Nasser Kehtarnavaz - University of Texas at Dallas
Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), UK, May 2019Abstract: This paper presents an educational tool to learn about how hearing aid compression fitting is prescribed from a signal processing perspective. An interactive web-based program has been developed based on the widely used DSL-v5 fitting rationale. This program can be accessed and used from any internet browser to generate the parameters of compression curves that correspond to the nine frequency bands used in DSL-v5. These parameters are then transferred to a smartphone in the form of a datafile to be used by a compression app, which operates as a virtual hearing aid, running in real-time on both iOS and Android smartphones. This educational tool was found to be very easy-to-use by signal processing engineers as no programming knowledge is needed for adjusting gain across frequency bands and subsequently running the corresponding compression curves in the smartphone app to appropriately compress input sound signals.
Supporting materials related to this work are available via the following links:
| Link | Description |
|---|---|
| http://www.utdallas.edu/%7Ekehtar/WebBasedFitting.html | Web-based Compression Fitting |
| http://www.utdallas.edu/%7Ekehtar/EducationalCompressionFitting.mp4 | A videoclip showing the web-based compression program and the compression app |
A User's Guide is provided which describes how to run the codes on smartphone platforms.
To run the Android version of the compression app, it is necessary to have Superpowered SDK which can be obtained from the following link: https://superpowered.com. Then, need to add the path of Superpowered in gradle/local.properties:
superpowered.dir = /.../SuperpoweredSDK/Superpowered
The codes are licensed under MIT license.
For any utilization of the code content of this repository, the following paper needs to get cited by the user:
- Nasim Alamdari, Edward Lobarinas, and Nasser Kehtarnavaz, "An Educational Tool For Hearing Aid Compression Fitting Via A Web-based Adjusted Smartphone App," Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), UK, May 2019.