Abstract: Acoustic signal classification in continual learning environments faces significant challenges, particularly due to catastrophic forgetting and the need for efficient memory utilization.
Few-shot acoustic signal classification remains a challenging problem due to the high diversity and variability of acoustic data and limited availability of labeled samples. While pretrained audio ...
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