Semi-Supervised Training for Improving Data Efficiency in End-to-End Speech Synthesis
Table 2: Results of SxS subjective tests based on a 7-point rating scale. We report both rater preferences (in percentage) and p-values for each comparison.
['Competing pair', 'Preference\xa0(%) Former', 'Preference\xa0(%) Latter', 'Preference\xa0(%) Neutral', '[ITALIC] p-value']
As we can see from the table, both T-Enc and T-Dec significantly outperform T-Base: in both tests, raters strongly preferred them over the baseline by more than 60%. Interestingly, the raters considered T-Dec, T-Enc, and T-Enc-Dec similarly preferable. The results of SxS tests are consistent to those of MCD objective tests, and both demonstrate the effectiveness of our semi-supervised framework.