/Acoustic-Feedback-Cancellation

Adaptive Noise Injection based Acoustic Feedback Cancellation

Primary LanguageObjective-C++MIT LicenseMIT

Adaptive Noise Injection Based Acoustic Feedback Cancellation

Overview

Purpose of the application is to demonstrate Acoustic Feedback Cancellation on smartphone devices. Loudspeaker of the device playes the recorded sound in real time and microphone again captures it, creating infinite feedback loop. Application uses Adaptive Noise Injection based Algorithm to tackle the feedback problem.

Abstract Acoustic feedback cancellation is a challenging problem in the design of sound reinforcement systems, hearing aids, etc. Acoustic feedback is inevitable when the acoustic signal path forms a loop between the microphone and loudspeaker. An efficient short duration noise injection algorithm is proposed in this paper to estimate the impulse response of the acoustic feedback path model. The algorithm does not require any prior information about the acoustic feedback path. It is capable of optimally estimate the acoustic feedback path for cancellation, and avoid the occurrence of any howling episode, in varying acoustic environments. Presented algorithm is efficiently implemented on smartphone device having close proximity of loudspeaker and microphone to emulate the feedback condition. The algorithm being platform-independent can also be implemented for any set-up or system. The experimental results of the proposed method shows satisfying results and its ability to track and cancel the acoustic feedback in changing characteristics of the acoustic path.

Audio Video Demo

For video demo of the application, please refer: https://www.youtube.com/watch?time_continue=2&v=uJS-AeDTFxk&feature=emb_logo For audio demo of the application, please refere: https://utdallas.edu/ssprl/hearing-aid-project/video-demonstration/acoustic-feedback-cancellation/

Requirements

**Install Xcode to run it on local iPhone or mac processor. **Runs on iPhone with iOS 10+ versions. Install using .xcodeproj file.

Privacy Note: Application records through your microphone. App does not save data nor save it, to process later..

User guide

More details about how the application was developed is written in USER GUIDE file available in the same folder.

For more details about the algorithm please refer the work: Efficient Real-Time Acoustic Feedback Cancellation using Adaptive Noise Injection Algorithm. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. NIHMSID: NIHMS1605962.

If you use the work in your research, please cite us.

For more details about related work in signal processing, please visit: https://www.utdallas.edu/ssprl/

License and Citation

The codes are licensed under open-source MIT license.

Disclaimer

  • This work was supported in part by the National Institute of the Deafness and Other Communication Disorders (NIDCD) of the National Institutes of Health (NIH) under Award 1R01DC015430-04. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.
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