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modify according to PR reviews
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@ -372,10 +372,15 @@ def _voxcel_x(root_path, meta_file, voxcel_idx):
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def baker(root_path: str, meta_file: str) -> List[List[str]]:
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"""Normalizes the Baker meta data file to TTS format
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# ======================================== Baker (chinese mandarin single speaker) ===========================================
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def baker(root_path, meta_file):
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"""Normalizes the Baker meta data file to TTS format"""
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Args:
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root_path (str): path to the baker dataset
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meta_file (str): name of the meta dataset containing names of wav to select and the transcript of the sentence
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Returns:
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List[List[str]]: List of (text, wav_path, speaker_name) associated with each sentences
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"""
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txt_file = os.path.join(root_path, meta_file)
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items = []
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speaker_name = "baker"
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@ -105,7 +105,7 @@ def _num2chinese(num :str, big=False, simp=True, o=False, twoalt=False) -> str:
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def _number_replace(match) -> str:
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def _number_replace(match: re.Match) -> str:
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"""function to apply in a match, transform all numbers in a match by chinese characters
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Args:
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@ -220,7 +220,6 @@ def synthesis(model,
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model outputs.
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speaker_id (int): id of speaker
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style_wav (str | Dict[str, float]): Uses for style embedding of GST.
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style_wav (str): Uses for style embedding of GST.
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truncated (bool): keep model states after inference. It can be used
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for continuous inference at long texts.
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enable_eos_bos_chars (bool): enable special chars for end of sentence and start of sentence.
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@ -127,7 +127,7 @@ class Synthesizer(object):
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gst_style_input = None
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if self.tts_config.use_gst:
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if self.tts_config.gst["gst_style_input"] not in ["", {}]:
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style_wav = self.tts_config.gst["gst_style_input"]
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gst_style_input = self.tts_config.gst["gst_style_input"]
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for sen in sens:
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# synthesize voice
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