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The HMM baseline had the phone accuracy of 72.72%.
Relative to MLTS, template compression increased absolute phone accuracy by 0.27% with the KL distance and it decreased absolute phone accuracy by 0.40% with the LLR distances.
In[8], a hierarchical classification from successive broad classes is used with improvements in phone accuracy.
Figure 7 Lattice rescoring phone accuracy (percent) using different numbers of GMM indices for frame representation.
Among the four t values studied here, it is observed that t = 2 gave the best phone accuracy performance.
The phone accuracy results in simulated and real diffuse noise cases are shown in Figures 6 and 7, respectively.
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Figure 6 Phone accuracies (simulated noise).
Figure 7 Phone accuracies (real diffuse noise).
Figure 6 Phone accuracies based on different methods.
The LLR distance gave higher phone accuracies than the KL distance did.
In MDTS, the phone accuracies were 73.82% and 72.70% for the LLR and KL distance, respectively, and in MLTS, the phone accuracies were 74.05% and 73.07% for the LLR and the KL distance, respectively.
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