Fine-grained classification is challenging due to the difficulty of find...
Few-shot bioacoustic event detection consists in detecting sound events ...
Automatic detection and classification of animal sounds has many applica...
Acoustic data (sound recordings) are a vital source of evidence for
dete...
One hour before sunrise, one can experience the dawn chorus where birds ...
Animal vocalisations and natural soundscapes are fascinating objects of
...
Hierarchical taxonomies are common in many contexts, and they are a very...
Despite the popularity of guitar effects, there is very little existing
...
Photovoltaic (PV) power is affected by weather conditions, making the po...
The advance of technology for transmitting Data-over-Sound in various Io...
A visibility algorithm maps time series into complex networks following ...
Graph theory is emerging as a new source of tools for time series analys...
A typical audio signal processing pipeline includes multiple disjoint
an...
In audio signal processing, probabilistic time-frequency models have man...
Recent advances in birdsong detection and classification have approached...
Gaussian process (GP) audio source separation is a time-domain approach ...
Many animals emit vocal sounds which, independently from the sounds'
fun...
We propose a method to perform audio event detection under the common
co...
Assessing the presence and abundance of birds is important for monitorin...
In training a deep learning system to perform audio transcription, two
p...
In training a deep learning system to perform audio transcription, two
p...
Kernel Additive Modelling (KAM) is a framework for source separation aim...
Recent advances in analysis of subband amplitude envelopes of natural so...
Automatic music transcription (AMT) aims to infer a latent symbolic
repr...
Real music signals are highly variable, yet they have strong statistical...
Training a denoising autoencoder neural network requires access to truly...
We describe an inference task in which a set of timestamped event
observ...