Research Article
A Novel AMR-WB Speech Steganography Based on Diameter-Neighbor Codebook Partition
Figure 10
ROC curves for steganalysis of CNV-based, NID-based, and our proposed steganography (50% training rate).
(a) Markov (TIMIT, 100 bps) |
(b) MFCC (TIMIT, 100 bps) |
(c) Markov (TIMIT, 200 bps) |
(d) MFCC (TIMIT, 200 bps) |
(e) Markov (TIMIT, 300 bps) |
(f) MFCC (TIMIT, 300 bps) |