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@@ -20,18 +20,9 @@ import numpy as np
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import whisper
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from typing import Callable
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import torchaudio.compliance.kaldi as kaldi
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-import torchaudio
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import os
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import re
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import inflect
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-try:
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- import ttsfrd
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- use_ttsfrd = True
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-except ImportError:
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- print("failed to import ttsfrd, use wetext instead")
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- from wetext import Normalizer as ZhNormalizer
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- from wetext import Normalizer as EnNormalizer
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- use_ttsfrd = False
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from cosyvoice.utils.file_utils import logging, load_wav
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from cosyvoice.utils.frontend_utils import contains_chinese, replace_blank, replace_corner_mark, remove_bracket, spell_out_number, split_paragraph, is_only_punctuation
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@@ -60,17 +51,29 @@ class CosyVoiceFrontEnd:
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else:
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self.spk2info = {}
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self.allowed_special = allowed_special
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- self.use_ttsfrd = use_ttsfrd
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- if self.use_ttsfrd:
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+ self.inflect_parser = inflect.engine()
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+ # NOTE compatible when no text frontend tool is avaliable
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+ try:
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+ import ttsfrd
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self.frd = ttsfrd.TtsFrontendEngine()
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ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
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assert self.frd.initialize('{}/../../pretrained_models/CosyVoice-ttsfrd/resource'.format(ROOT_DIR)) is True, \
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'failed to initialize ttsfrd resource'
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self.frd.set_lang_type('pinyinvg')
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- else:
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- self.zh_tn_model = ZhNormalizer(remove_erhua=False)
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- self.en_tn_model = EnNormalizer()
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- self.inflect_parser = inflect.engine()
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+ self.text_frontend = 'ttsfrd'
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+ logging.info('use ttsfrd frontend')
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+ except:
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+ try:
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+ from wetext import Normalizer as ZhNormalizer
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+ from wetext import Normalizer as EnNormalizer
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+ self.zh_tn_model = ZhNormalizer(remove_erhua=False)
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+ self.en_tn_model = EnNormalizer()
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+ self.text_frontend = 'wetext'
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+ logging.info('use wetext frontend')
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+ except:
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+ self.text_frontend = ''
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+ logging.info('no frontend is avaliable')
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+
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def _extract_text_token(self, text):
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if isinstance(text, Generator):
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@@ -131,12 +134,13 @@ class CosyVoiceFrontEnd:
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if text_frontend is False or text == '':
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return [text] if split is True else text
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text = text.strip()
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- if self.use_ttsfrd:
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+ if self.text_frontend == 'ttsfrd':
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texts = [i["text"] for i in json.loads(self.frd.do_voicegen_frd(text))["sentences"]]
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text = ''.join(texts)
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else:
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if contains_chinese(text):
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- text = self.zh_tn_model.normalize(text)
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+ if self.text_frontend == 'wetext':
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+ text = self.zh_tn_model.normalize(text)
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text = text.replace("\n", "")
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text = replace_blank(text)
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text = replace_corner_mark(text)
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@@ -147,7 +151,8 @@ class CosyVoiceFrontEnd:
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texts = list(split_paragraph(text, partial(self.tokenizer.encode, allowed_special=self.allowed_special), "zh", token_max_n=80,
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token_min_n=60, merge_len=20, comma_split=False))
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else:
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- text = self.en_tn_model.normalize(text)
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+ if self.text_frontend == 'wetext':
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+ text = self.en_tn_model.normalize(text)
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text = spell_out_number(text, self.inflect_parser)
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texts = list(split_paragraph(text, partial(self.tokenizer.encode, allowed_special=self.allowed_special), "en", token_max_n=80,
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token_min_n=60, merge_len=20, comma_split=False))
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