Table 3 Average performance comparison with related works on LITIS Rouen dataset and DCASE2016 dataset
From: Learning long-term filter banks for audio source separation and audio scene classification
Method | DCASE2016 (%) | LITIS Rouen (%) | ||
|---|---|---|---|---|
| Â | Error | F-measure | Error | F-measure |
TriFB-Null | 23.12 | 76.08 | 3.76 | 96.19 |
GaussFB-Null | 22.69 | 76.56 | 3.48 | 96.44 |
CNN-multilayer [50] | 26.45 | 72.44 | 4.00 | 95.80 |
CNN-1layer [22] | 23.29 | 75.82 | 2.97 | 96.91 |
RNN-Gam [26] | – | – | 3.4 | – |
CNN-Gam [24] | – | – | 4.2 | – |
MFCC-GMM [49] | 27.5 | – | – | – |
DNN-CQT [51] | – | 78.1 | – | 96.6 |
DNN-Mel [53] | 23.6 | – | – | – |
CNN-Mel [54] | 24.0 | – | – | – |