ICASSP 2023accepted0 citations

Decoding Auditory EEG Responses Using an Adapted Wavenet

Bob Van Dyck, Liuyin Yang, Marc M. Van Hulle

Abstract

We introduce a WaveNet-based model that placed second in the Auditory EEG Challenge on the regression subtask of the ICASSP Signal Processing Grand Challenge 2023. The model achieved the highest score on the held-out subjects test set with 341k trainable parameters. In this paper, we present our network architecture, and training strategies along with a short discussion.

BibTeX
@inproceedings{icassp2023_decodingauditory,
  title = {Decoding Auditory EEG Responses Using an Adapted Wavenet},
  author = {Bob Van Dyck and Liuyin Yang and Marc M. Van Hulle},
  booktitle = {ICASSP 2023},
  year = {2023}
}
Decoding Auditory EEG Responses Using an Adapted Wavenet · ICASSP 2023