The Benefit of Temporally-Strong Labels in Audio Event Classification

To reveal the importance of temporal precision in ground truth audio event labels, we collected precise (∼0.1 sec resolution) "strong" labels for a portion of the AudioSet dataset. We devised a temporally-strong evaluation set (including explicit negatives of varying difficulty) and a small strong-labeled training subset of 67k clips (compared to the original dataset’s 1.8M clips labeled at 10 sec...