Research Article
ASLNet: An Encoder-Decoder Architecture for Audio Splicing Detection and Localization
Table 3
The detection results of the Jadhav et al. [
11] and the ASLNet with MFCC feature and
ā=ā0.5 under the intradatabase testing scenario.
| Methods | Spliced at the end | Spliced at the middle | Dataset | | | | Dataset | | | |
| Jadhav et al. [11] | ENSet2 | 0.8992 | 0.9191 | 0.9072 | ENSet3 | 0.9229 | 0.9483 | 0.9412 | CNSet2 | 0.9587 | 0.9671 | 0.9614 | CNSet3 | 0.9465 | 0.9591 | 0.9524 |
| ASLNet | ENSet2 | 0.8742 | 0.9295 | 0.9077 | ENSet3 | 0.8949 | 0.9904 | 0.9740 | CNSet2 | 0.9698 | 0.9903 | 0.9833 | CNSet3 | 0.9938 | 0.9979 | 0.9965 |
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