Comments (2)
Yes, there has some difference between Taiwan Mandarin and Chinese Mandarin.
So, in order to use g2p in Taiwan, we collect and annotate the training data for the situation. Hence, this model is trained that dataset.
Some suggests for you to handle this problem:
- For monophonic characters, you can revise the dictionary
- Train g2pW on high qaulity Chinese Mandarin dataset (maybe?
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@GitYCC Does there any plan to traing a Chinese Mandarin version as well?
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Related Issues (10)
- bugs when there are not polyphone in the sentence HOT 1
- “和”字拼音转成了han4 HOT 5
- multiprocessing error HOT 1
- 模型大小不一样 HOT 5
- 錫 ㄒㄧ2? HOT 3
- does it support coverting pinyin or 汉字 to phoneme? HOT 3
- inference 60 characters, cost 0.86 sencond on cpu, how to acceleration time HOT 15
- Include g2pW into PaddleSpeech TTS HOT 17
- The length of input could not more than 16? HOT 3
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