From Figure 2, we can see that by increasing the number of labeled training data, DDN can gain more improvements in accuracy compared with Baseline, SCL and HMM.
ddN increases accuracy by 2.4% compared with Baseline, by 1.3% compared with SCL, and by 0.6% compared with HMM when the labeled training data is 1,000.