A fully few-shot class-incremental audio classifier using a frozen multi-level AST embedding extractor and an incrementally updated ridge regression classifier outperforms prior methods on three datasets.
Results show that our method exceeds previous methods in Average Accuracy (AA) and Performance Degradation rate (PD), and has advantage over most of them in complexity
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Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier
A fully few-shot class-incremental audio classifier using a frozen multi-level AST embedding extractor and an incrementally updated ridge regression classifier outperforms prior methods on three datasets.