This technical report details our work towards building an enhanced audio-visual sound event localization and detection (SELD) network. We build on top of the audio-only SELDnet23 model and adapt it to be audio-visual by merging both audio and video information prior to the gated recurrent unit (GRU) of the audio-only network. Our model leverages YOLO and DETIC object detectors. We also build a framework that implements audio-visual data augmentation and audio-visual synthetic data generation. We deliver an audio-visual SELDnet system that outperforms the existing audio-visual SELD baseline.
@article{arxiv.2401.17129,
title = {Enhanced Sound Event Localization and Detection in Real 360-degree audio-visual soundscapes},
author = {Adrian S. Roman and Baladithya Balamurugan and Rithik Pothuganti},
journal= {arXiv preprint arXiv:2401.17129},
year = {2024}
}