Statistical Signal Processing Research Laboratory

Smartphone-Based Open Research Platform for Hearing Improvement Studies

DISCLAIMER STATEMENTS

This research is supported by National Institutes of Health (NIH)-National Institute on Deafness and Other communication Disorders (NIDCD) under award number R01DC015430.The content of this website is solely the responsibility of the contributors and does not necessarily represent the official views of the National Institutes of Health.

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This page provides the codes (MATLAB, C/C++, Java, Objective-C files) used in this project.

Please click on the zip and press download button in the opening page to download the compressed files. Please refer to the User Guides for guidelines. 

–   DOA: Direction of Arrival Estimation and Speech Source Localization

–   SE: Speech Enhancement (including the speech classification and clinical testing)

–   ASDS: Alert Signal Detection and Separation

–   AFC: Acoustic Feedback Cancellation

–   COMP: Compression, Fitting

–   VAD: Voice Activation Detection

–   FMIC: Framework for using Smartphone Microphones

–   NC: Noise Classification

–   GUI: Graphical User Interface

–   SS: Speech Separation

–   WASN: Wireless Acoustic Sensor Network

2022-2023 (SSPRL Lab GitHub Repository)

Please contact Issa Panahi (issa.panahi@utdallas.edu) for the codes.

2021-2022 (SSPRL Lab GitHub Repository)

Please contact Issa Panahi (issa.panahi@utdallas.edu) for the codes.

2019-2020 (SSPRL Lab GitHub Repository)

Please contact Issa Panahi (issa.panahi@utdallas.edu) for the codes.

2018

2017