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Speech-Separating-Hearing-Aid

This is our final year design project, which focuses on improving the performance of hearing aids using neural beamforming and source separation techniques.

Project Overview

The goal of this project is to enhance the listening experience of hearing aid users by localizing speakers and separating out background noise. Our approach uses a neural beamformer to locate the direction of the speaker, then applly source separation to isolate the speaker's voice from surrounding sounds. This results in a clearer, more intelligible audio signal for the user.

System Architecture

Block Diagram

Demo

Watch the video

Contributors

  • Rishi Kakade
  • Aditya Srinivasan
  • Yulia Kluev
  • Ojorumi Aneke
  • Kiersten Overton
  • Kunal Chandan

Acknowledgements

Our beamformer was Cone of Silence and the source separation was done using Conv-TasNet