A UNIFIED SEQUENCE-TO-SEQUENCE FRONT-END MODEL FOR MANDARIN TEXT-TO-SPEECH SYNTHESIS
Table 2: The G2P accuracy represents the polyphone disambiguation accuracy. The prosody F1 score in PP, PW and IP indicates the stacked prosody tagging F1 score.
['[BOLD] Settings', '[BOLD] G2P accuracy(%)', '[BOLD] Prosody F1 score  [BOLD] PW', '[BOLD] Prosody F1 score  [BOLD] PP', '[BOLD] Prosody F1 score  [BOLD] IP']
Compared to baselines, we found that our front-end with POS and with CWS+POS auxiliary module got slightly improvement in polyphone disambiguation. As for prosody prediction, our front-end with CWS+POS auxiliary module obtained similar performance in PW prediction, and our front-end with any auxiliary module achieved significantly higher F1 score in IP prediction. However, the prosody baseline still performs the best in PP prediction. According to the test results, our front-end with CWS+POS auxiliary module can be regarded to have comparable performance with the baselines.