Self-supervised learning (SSL) leverages large datasets of unlabeled spe...
Speech enhancement in ad-hoc microphone arrays is often hindered by the
...
Self-Supervised Learning (SSL) has allowed leveraging large amounts of
u...
Self-supervised learning (SSL) has recently allowed leveraging large dat...
Adapting a segmentation model from a labeled source domain to a target
d...
Self-supervised learning (SSL) has allowed substantial progress in Autom...
Contrastive learning enables learning useful audio and speech representa...
Through solving pretext tasks, self-supervised learning leverages unlabe...
Speech enhancement promises higher efficiency in ad-hoc microphone array...
Through solving pretext tasks, self-supervised learning (SSL) leverages
...
In this paper, we consider the detection of a decrease of engagement by ...
Multichannel processing is widely used for speech enhancement but severa...
The task of predicting fine grained user opinion based on spontaneous sp...
In this paper, we introduce a set of opinion annotations for the POM mov...
We tackle the problem of audiovisual scene analysis for weakly-labeled d...
In this paper, the main goal is to detect a movie reviewer's opinion usi...
Audio-visual representation learning is an important task from the
persp...
Motivated by Supervised Opinion Analysis, we propose a novel framework
d...