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Slow-Fast Auditory Streams For Audio Recognition

2021-03-05Code Available1· sign in to hype

Evangelos Kazakos, Arsha Nagrani, Andrew Zisserman, Dima Damen

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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.

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Benchmark Results

DatasetModelMetricClaimedVerifiedStatus
EPIC-SOUNDSSlow-Fast(Finetune by Fivewin team)Top-1 accuracy %55.11Unverified

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