Slow-Fast Auditory Streams For Audio Recognition
Sound
2021-03-08 v1 Computer Vision and Pattern Recognition
Audio and Speech Processing
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.
Cite
@article{arxiv.2103.03516,
title = {Slow-Fast Auditory Streams For Audio Recognition},
author = {Evangelos Kazakos and Arsha Nagrani and Andrew Zisserman and Dima Damen},
journal= {arXiv preprint arXiv:2103.03516},
year = {2021}
}
Comments
Accepted for presentation at ICASSP 2021