Name
Title | ||
|---|---|---|
Auxiliary classifier generative adversarial network with soft labels in imbalanced acoustic event detection |
Abstract | ||
|---|---|---|
In acoustic event detection, the training data size of some acoustic events is often small and imbalanced. To deal with this, this paper proposes generating the virtual training data categorically using the auxiliary classifier generative adversarial networks. Soft labels of acoustic events are first calculated to represent the acoustic event localization information. The closer the current frame ... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TMM.2018.2879750 | IEEE Transactions on Multimedia |
Keywords | Field | DocType |
Acoustics,Training,Event detection,Generative adversarial networks,Training data,Hidden Markov models,Feature extraction | Training set,Generative adversarial network,Pattern recognition,Computer science,Street (environment),Virtual training,Artificial intelligence,Acoustic event detection,Generative grammar,Classifier (linguistics) | Journal |
Volume | Issue | ISSN |
21 | 6 | 1520-9210 |
Citations | PageRank | References |
4 | 0.38 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xianjun Xia | 1 | 12 | 3.02 |
| Roberto Togneri | 2 | 814 | 48.33 |
| Senjian An | 3 | 308 | 26.74 |
| D. Huang | 4 | 438 | 44.28 |