On the choice of the optimal temporal support for audio classification with Pre-trained embeddings

Aurian Quelennec, Michel Olvera, Geoffroy Peeters +1

Current state-of-the-art audio analysis systems rely on pre-trained embedding models, often used off-the-shelf as (frozen) feature extractors. Choosing the best one for a set of ta…