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Found 4 papers, 0 papers with code
Pseudo Strong Labels from Frame-Level Predictions for Weakly Supervised Sound Event Detection
Weakly Supervised Sound Event Detection (WSSED), which relies on audio tags without precise onset and offset times, has become prevalent due to the scarcity of strongly labeled data that includes exact temporal boundaries for events.
Impact of Noisy Labels on Sound Event Detection: Deletion Errors Are More Detrimental Than Insertion Errors
We demonstrate that loss functions designed to address data imbalance in SED can effectively reduce the impact of noisy labels on system performance.
Unitary Approximate Message Passing for Sparse Bayesian Learning
Sparse Bayesian learning (SBL) can be implemented with low complexity based on the approximate message passing (AMP) algorithm.
Approximate Message Passing with Nearest Neighbor Sparsity Pattern Learning
We consider the problem of recovering clustered sparse signals with no prior knowledge of the sparsity pattern.
