Open Access
Table 4
Using the same convolutional neural network and different feature extraction methods, AUC/pAUC value summary.
| Algorithm | AE | AE | AE | AE | AE |
|---|---|---|---|---|---|
| Feature | Log-Mel | Log-linear | HPSS-p | HPSS-h | Fusion |
| ToyCar | 0.768/0.662 | 0.717/0.659 | 0.658/0.531 | 0.606/0.553 | 0.768/0.662 |
| ToyConveyor | 0.733/0.609 | 0.679/0.565 | 0.728/0.609 | 0.597/0.601 | 0.733/0.609 |
| Fan | 0.644/0.536 | 0.593/0.551 | 0.635/0.537 | 0.523/0.531 | 0.644/0.536 |
| Pump | 0.732/0.612 | 0.684/0.605 | 0.809/0.641 | 0.726/0.598 | 0.809/0.641 |
| Slider | 0.851/0.664 | 0.911/0.756 | 0.828/0.617 | 0.928/0.791 | 0.928/0.791 |
| Valve | 0.660/0.510 | 0.737/0.544 | 0.562/0.509 | 0.843/0.665 | 0.843/0.665 |
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