Bioacoustic sound event detection allows for better understanding of ani...
Deep learning has been widely used recently for sound event detection an...
Deep generative models can generate high-fidelity audio conditioned on
v...
Speech enhancement in ad-hoc microphone arrays is often hindered by the
...
The paper introduces Diff-Filter, a multichannel speech enhancement appr...
Due to the high variation in the application requirements of sound event...
Speaker verification (SV) suffers from unsatisfactory performance in
far...
The aim of the Detection and Classification of Acoustic Scenes and Event...
This paper proposes a benchmark of submissions to Detection and
Classifi...
Performing an adequate evaluation of sound event detection (SED) systems...
Detection and Classification Acoustic Scene and Events Challenge 2021 Ta...
Speech enhancement promises higher efficiency in ad-hoc microphone array...
We introduce the Free Universal Sound Separation (FUSS) dataset, a new c...
We propose a benchmark of state-of-the-art sound event detection systems...
The ranking of sound event detection (SED) systems may be biased by
assu...
In this work, we present the system description of the UIAI entry for th...
Performing sound event detection on real-world recordings often implies
...
Training a sound event detection algorithm on a heterogeneous dataset
in...
Ambient sound scenes typically comprise multiple short events occurring ...
Multichannel processing is widely used for speech enhancement but severa...
While many datasets and approaches in ambient sound analysis use weakly
...
We consider the problem of simultaneous reduction of acoustic echo,
reve...
This paper describes the speaker diarization systems developed for the S...
Unmanned aerial vehicles (UAV), commonly referred to as drones, have rai...
This paper presents DCASE 2018 task 4. The task evaluates systems for th...
Multichannel linear filters, such as the Multichannel Wiener Filter (MWF...