Table 4 Average performance comparison using different configurations on LITIS Rouen dataset and DCASE2016 dataset
From: Learning long-term filter banks for audio source separation and audio scene classification
Init | Method | DCASE2016 (%) | LITIS Rouen (%) | ||
|---|---|---|---|---|---|
| Â | 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 |
– | TriFB-GaussLTFB | 22.40 | 76.79 | 2.82 | 97.05 |
– | GaussFB-GaussLTFB | 22.15 | 77.11 | 2.97 | 96.91 |
Random | TriFB-FullLTFB | 22.67 | 76.49 | 3.47 | 96.35 |
Random | GaussFB-FullLTFB | 21.21 | 78.05 | 2.96 | 96.92 |
Identity | TriFB-FullLTFB | 23.35 | 75.69 | 3.67 | 96.18 |
Identity | GaussFB-FullLTFB | 23.13 | 75.83 | 3.21 | 96.61 |