537 citations · 835 across the 48 of their papers we have counts for
4 papers · 1 filter
How to (virtually) train your speaker localizer
Prerak Srivastava, Antoine Deleforge, Archontis Politis +1
Learning-based methods have become ubiquitous in speaker localization. Existing systems rely on simulated training sets for the lack of sufficiently large, diverse and annotated re…
Position tracking of a varying number of sound sources with sliding permutation invariant training
David Diaz-Guerra, Archontis Politis, Tuomas Virtanen
Recent data- and learning-based sound source localization (SSL) methods have shown strong performance in challenging acoustic scenarios. However, little work has been done on adapt…
Self-supervised Learning of Audio Representations from Audio-Visual Data using Spatial Alignment
Shanshan Wang, Archontis Politis, Annamaria Mesaros +1
Learning from audio-visual data offers many possibilities to express correspondence between the audio and visual content, similar to the human perception that relates aural and vis…
STARSS22: A dataset of spatial recordings of real scenes with spatiotemporal annotations of sound events
Archontis Politis, Kazuki Shimada, Parthasaarathy Sudarsanam +7
This report presents the Sony-TAu Realistic Spatial Soundscapes 2022 (STARS22) dataset for sound event localization and detection, comprised of spatial recordings of real scenes co…