End-to-end equalization with convolutional neural networks

View the Project on GitHub mchijmma/end-to-end-equalization

Audio examples for the paper:

Martínez Ramírez M. A. and Reiss J. D., “End-to-end equalization with convolutional neural networks” in the 21st International Conference on Digital Audio Effects (DAFx-18), Aveiro, Portugal, September 2018.

 

highpass

- input
- target
- output

 

peaking

- input
- target
- output

 

shelving

- input
- target
- output

 

Citation

@inproceedings{martinez2018end,
title={End-to-end equalization with convolutional neural networks},
author={Mart'{i}nez Ram'{i}rez, Marco A. and Reiss, Joshua D.},
booktitle={21st International Conference on Digital Audio Effects (DAFx-18)},
Month = {September},
year = {2018},
location = {Aveiro, Portugal}
}