Distribution-based supervision for 9-class SER improves alignment with human annotator vote distributions over hard-label training.
Learning annotation consensus for con- tinuous emotion recognition,
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Variance-Regularised Pruning maintains competitive CCC performance at 80% sparsity on the AGAIN dataset by incorporating cross-participant variance into the pruning process.
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Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition
Distribution-based supervision for 9-class SER improves alignment with human annotator vote distributions over hard-label training.