Learning Speech Rate in Speech Recognition
Table 7: Results with both the DNN- and HMM-based ROS compensation.
['Test set', 'WER/% Slow', 'WER/% Fast']
Finally, the DNN-based compensation and the HMM-based compensation can be combined together. It can be seen that the two compensation approaches are indeed complementary and the combination provides additional performance gains. This is a clear evidence that the ROS variance causes distortions in both the temporal and spectral domains, and the two compensation methods address the two distortions respectively.