cnrhlc

Code for:

• "Controllable joint noise reduction and hearing loss compensation using a differentiable auditory model"
• "End-to-end multi-task learning for adjustable joint noise reduction and hearing loss compensation"

This repository contains the code for:

• The differentiable auditory model
• The uncertainty-based loss function
• The BSRNN-based system with input audiogram support

The training code and data preparation scripts are not included.

Cite as:

@inproceedings{gonzalez2025controllable,
  title = {Controllable joint noise reduction and hearing loss compensation using a differentiable auditory model},
  author = {Gonzalez, Philippe and Dau, Torsten and May, Tobias},
  booktitle = {Proc. Clarity},
  pages = {48--52},
  year = {2025},
  doi = {10.21437/Clarity.2025-14},
}

@article{gonzalez2026end,
  title = {End-to-end multi-task learning for adjustable joint noise reduction and hearing loss compensation},
  author = {Gonzalez, Philippe and Frederiksen, Vera Margrethe and Dau, Torsten and May, Tobias},
  journal = {arXiv preprint arXiv:2603.20387},
  year = {2026}
}