  This technical report details our systems submitted for Task 3 of the DCASE
2024 Challenge: Audio and Audiovisual Sound Event Localization and Detection
(SELD) with Source Distance Estimation (SDE). We address only the audio-only
SELD with SDE (SELDDE) task in this report. We propose to improve the existing
ResNet-Conformer architectures with Squeeze-and-Excitation blocks in order to
introduce additional forms of channel- and spatial-wise attention. In order to
improve SELD performance, we also utilize the Spatial Cue-Augmented
Log-Spectrogram (SALSA) features over the commonly used log-mel spectra
features for polyphonic SELD. We complement the existing Sony-TAu Realistic
Spatial Soundscapes 2023 (STARSS23) dataset with the audio channel swapping
technique and synthesize additional data using the SpatialScaper generator. We
also perform distance scaling in order to prevent large distance errors from
contributing more towards the loss function. Finally, we evaluate our approach
on the evaluation subset of the STARSS23 dataset.
