Replacing the Conformer decoder with a bidirectional Mamba and asymmetric convolutions in a pretrained CNN14 PSELDnet improves stereo sound event localization F1 to 39.6% on the DCASE2025 Task 3 development set, over the Conformer's 38.2% and the baseline's 22.8%.
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Stereo sound event localization and detection based on PSELDnet pretraining and BiMamba sequence modeling
Replacing the Conformer decoder with a bidirectional Mamba and asymmetric convolutions in a pretrained CNN14 PSELDnet improves stereo sound event localization F1 to 39.6% on the DCASE2025 Task 3 development set, over the Conformer's 38.2% and the baseline's 22.8%.