Table 1 Performance of CRNNs. All results are given in macro average F1. Tamp amplitude threshold, lr learning rate. All results are measured in macro average F1
CRNN | ||||
|---|---|---|---|---|
lr | Batch size | Tamp [dB] | Devel | Test |
0.001 | 128 | − 30 | 66.5 | – |
0.001 | 128 | − 45 | 57.8 | – |
0.001 | 64 | − 30 | 55.4 | – |
0.01 | 128 | − 30 | 66.2 | – |
0.01 | 128 | − 60 | 69.2 | – |
0.01 | 64 | − 30 | 70.7 | 72.3 |
0.01 | 64 | − 45 | 73.7 | 79.3 |
0.01 | 64 | − 60 | 78.8 | 74.2 |
Fusion of best 3 CRNNs | 81.4 | 82.2 | ||
DCASE 2018, task 5 baseline [8] | ||||
0.0001 | 256 | – | 84.5 | 83.1 |