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Found 3 papers, 1 papers with code
BEATs: Audio Pre-Training with Acoustic Tokenizers
In the first iteration, we use random projection as the acoustic tokenizer to train an audio SSL model in a mask and label prediction manner.
Ranked #1 on
Audio Classification
on Balanced Audio Set
Maximizing Audio Event Detection Model Performance on Small Datasets Through Knowledge Transfer, Data Augmentation, And Pretraining: An Ablation Study
An Xception model reaches state-of-the-art (SOTA) accuracy on the ESC-50 dataset for audio event detection through knowledge transfer from ImageNet weights, pretraining on AudioSet, and an on-the-fly data augmentation pipeline.
Multi-label Sound Event Retrieval Using a Deep Learning-based Siamese Structure with a Pairwise Presence Matrix
State of the art sound event retrieval models have focused on single-label audio recordings, with only one sound event occurring, rather than on multi-label audio recordings (i. e., multiple sound events occur in one recording).
