From: Spatial and temporal learning representation for end-to-end recording device identification
Model | Features | Classification results (ACC) | Testing time (second) |
---|---|---|---|
GMM-UBM | MFCC | 31.5% | 0.0677 |
GSV-SVM | GSV | 93.6% | 0.0519 |
BED-SVM | BED | 92.5% | 0.0026 |
previous work | MFCC,GSV,I-vector | 97.3% | 0.0017 |
this work | MFCC,GSV | 97.5% | 0.0213 |