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Fix the bug in sythesizer

This commit is contained in:
Edresson Casanova 2022-03-15 12:33:36 +00:00
parent 6f95522edf
commit e5c7ae9f1b
1 changed files with 4 additions and 4 deletions
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8
TTS/utils/synthesizer.py
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@ -129,10 +129,10 @@ class Synthesizer(object):
def _set_speaker_encoder_paths_from_tts_config(self):
"""Set the encoder paths from the tts model config for models with speaker encoders."""
if hasattr(self.tts_config, "model_args") and hasattr(
self.tts_config.model_args, "speaker_encoder_config_path"
self.tts_config.model_args, "encoder_config_path"
):
self.encoder_checkpoint = self.tts_config.model_args.speaker_encoder_model_path
self.encoder_config = self.tts_config.model_args.speaker_encoder_config_path
self.encoder_checkpoint = self.tts_config.model_args.encoder_model_path
self.encoder_config = self.tts_config.model_args.encoder_config_path
def _load_vocoder(self, model_file: str, model_config: str, use_cuda: bool) -> None:
"""Load the vocoder model.
@ -273,7 +273,7 @@ class Synthesizer(object):
emotion_embedding = np.array(emotion_embedding)[None, :] # [1 x embedding_dim]
else:
# get speaker idx from the speaker name
speaker_id = self.tts_model.emotion_manager.ids[emotion_name]
emotion_id = self.tts_model.emotion_manager.ids[emotion_name]
elif not emotion_name:
raise ValueError(
" [!] Look like you use an emotion model. "