ICASSP 2021accepted0 citations
Slow-Fast Auditory Streams for Audio Recognition
Evangelos Kazakos, Arsha Nagrani, Andrew Zisserman, Dima Damen
Abstract
We propose a two-stream convolutional network for audio recognition, that operates on time-frequency spectrogram inputs. Following similar success in visual recognition, we learn Slow-Fast auditory streams with separable convolutions and multi-level lateral connections. The Slow pathway has high channel capacity while the Fast pathway operates at a fine-grained temporal resolution. We showcase the importance of our two-stream proposal on two diverse datasets: VGG-Sound and EPIC-KITCHENS-100, and achieve state- of-the-art results on both.
BibTeX
@inproceedings{icassp2021_slowfastauditory,
title = {Slow-Fast Auditory Streams for Audio Recognition},
author = {Evangelos Kazakos and Arsha Nagrani and Andrew Zisserman and Dima Damen},
booktitle = {ICASSP 2021},
year = {2021}
}