LMU-based CNN with calibrated posterior ensemble fusion reports improved macro-F1 for cross-domain infant cry classification on Baby2020 and Baby Crying datasets.
Improving self-supervised audio representation based on contrastive learning with Conformer encoder,
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LMU-Based Sequential Learning and Posterior Ensemble Fusion for Cross-Domain Infant Cry Classification
LMU-based CNN with calibrated posterior ensemble fusion reports improved macro-F1 for cross-domain infant cry classification on Baby2020 and Baby Crying datasets.