A ResNet-Conformer network with shared weights and multi-scale attention, trained on synthetic and augmented real audio, improves detection and direction estimation over the DCASE 2024 baseline while distance error stays flat.
The network was trained using a multi-phase approach involving syn- thetic, real, and augmented data
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Resnet-conformer network with shared weights and attention mechanism for sound event localization, detection, and distance estimation
A ResNet-Conformer network with shared weights and multi-scale attention, trained on synthetic and augmented real audio, improves detection and direction estimation over the DCASE 2024 baseline while distance error stays flat.