2025
Investigating the Sensitivity of Pre-trained Audio Embeddings to Common Effects
ICASSP 2025accepted
In recent years, foundation models have significantly advanced data-driven systems across various domains. Yet, their underlying properties, especially when functioning as feature extractors, remain under-explored. In this paper, we investigate the sensitivity to audio effects of audio embeddings ex…