In this work, we investigate an approach that relies on contrastive lear...
Automated audio captioning (AAC) is the task of automatically generating...
Modeling various aspects that make a music piece unique is a challenging...
Self-supervised audio representation learning offers an attractive
alter...
Most existing datasets for sound event recognition (SER) are relatively ...
Audio representation learning based on deep neural networks (DNNs) emerg...
The large size of nowadays' online multimedia databases makes retrieving...
We present a deep neural network-based methodology for synthesising
perc...
Recent advancements in web-based audio systems have enabled sufficiently...
As sound event classification moves towards larger datasets, issues of l...
Properly annotated multimedia content is crucial for supporting advances...
This paper describes Task 2 of the DCASE 2018 Challenge, titled
"General...