incremental learning

Prototype Adaptation and Pseudo Class-Variable Training Boost Few-Shot Audio Classification

Researchers propose a method for few-shot class-variable incremental audio classification, handling both increases and decreases in the number of classes. The approach uses a prototype adaptation network and pseudo class-variable training. Experiments on three public datasets show improved average accuracy over previous methods.