LMU-based CNN with calibrated posterior ensemble fusion reports improved macro-F1 for cross-domain infant cry classification on Baby2020 and Baby Crying datasets.
A comprehensive survey of infant cry classification research trends and methods
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.AS 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.