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Fix homograph dict

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This commit is contained in:
KamioRinn 2024-03-21 15:42:09 +08:00
parent 97f304c2bf
commit fdcd409ea8
1 changed files with 7 additions and 1 deletions
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8
GPT_SoVITS/text/english.py
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@ -234,6 +234,10 @@ class en_G2p(G2p):
for word in ["AE", "AI", "AR", "IOS", "HUD", "OS"]:
del self.cmu[word.lower()]
# 修正多音字
self.homograph2features["read"] = (['R', 'IY1', 'D'], ['R', 'EH1', 'D'], 'VBP')
self.homograph2features["complex"] = (['K', 'AH0', 'M', 'P', 'L', 'EH1', 'K', 'S'], ['K', 'AA1', 'M', 'P', 'L', 'EH0', 'K', 'S'], 'JJ')
def __call__(self, text):
# tokenization
@ -260,6 +264,9 @@ class en_G2p(G2p):
pron1, pron2, pos1 = self.homograph2features[word]
if pos.startswith(pos1):
pron = pron1
# pos1比pos长仅出现在read
elif len(pos) < len(pos1) and pos == pos1[:len(pos)]:
pron = pron1
else:
pron = pron2
else:
@ -306,7 +313,6 @@ class en_G2p(G2p):
# 尝试进行分词，应对复合词
comps = wordsegment.segment(word.lower())
# 无法分词的送回去预测
if len(comps)==1:
return self.predict(word)