Title
The Benefit of Temporally-Strong Labels in Audio Event Classification
Abstract
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...
Year
DOI
Venue
2021
10.1109/ICASSP39728.2021.9414579
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Keywords
DocType
ISBN
Training,Conferences,Signal processing,Acoustics,Speech processing
Conference
978-1-7281-7605-5
Citations 
PageRank 
References 
1
0.40
0
Authors
7
Name
Order
Citations
PageRank
Shawn Hershey1102.38
Daniel P. W. Ellis24198356.08
Fonseca Eduardo3235.42
Lorena Álvarez450436.47
Caroline Liu510.40
R. Channing Moore651.33
Manoj Plakal716113.41