activity
20142024
most citedAcoustic Scene Classification

414 citations · 709 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.SD2023

ATGNN: Audio Tagging Graph Neural Network

Shubhr Singh, Christian J. Steinmetz, Emmanouil Benetos +2

Deep learning models such as CNNs and Transformers have achieved impressive performance for end-to-end audio tagging. Recent works have shown that despite stacking multiple layers,…

cs.SD20222 cited

Polyphonic sound event detection for highly dense birdsong scenes

Alberto García Arroba Parrilla, Dan Stowell

One hour before sunrise, one can experience the dawn chorus where birds from different species sing together. In this scenario, high levels of polyphony, as in the number of overla…

cs.SD20161 cited

On-bird Sound Recordings: Automatic Acoustic Recognition of Activities and Contexts

Dan Stowell, Emmanouil Benetos, Lisa F. Gill

We introduce a novel approach to studying animal behaviour and the context in which it occurs, through the use of microphone backpacks carried on the backs of individual free-flyin…

cs.SD2014414 cited

Acoustic Scene Classification

Daniele Barchiesi, Dimitrios Giannoulis, Dan Stowell +1

In this article we present an account of the state-of-the-art in acoustic scene classification (ASC), the task of classifying environments from the sounds they produce. Starting fr…

cs.SD2014291 cited

Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning

Dan Stowell, Mark D. Plumbley

Automatic species classification of birds from their sound is a computational tool of increasing importance in ecology, conservation monitoring and vocal communication studies. To…