activity
20142019
most citedAcoustic Scene Classification

414 citations · 707 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2019

Spectral Visibility Graphs: Application to Similarity of Harmonic Signals

Delia Fano Yela, Dan Stowell, Mark Sandler

Graph theory is emerging as a new source of tools for time series analysis. One promising method is to transform a signal into its visibility graph, a representation which captures…

stat.ML20191 cited

End-to-End Probabilistic Inference for Nonstationary Audio Analysis

William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss +2

A typical audio signal processing pipeline includes multiple disjoint analysis stages, including calculation of a time-frequency representation followed by spectrogram-based featur…

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…