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在语音合成和自然语言控制中重新使用保存的3秒急速复刻音色。expand to reuse the saved zero_shot_spk_id in sft, instruct2 #1475

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在语音合成和自然语言控制中重新使用保存的3秒急速复刻音色。expand to reuse the saved zero_shot_spk_id in sft, instruct2 #1475

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1 change: 1 addition & 0 deletions cosyvoice/cli/cosyvoice.py
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Original file line number Diff line number Diff line change
Expand Up @@ -72,6 +72,7 @@ def add_zero_shot_spk(self, prompt_text, prompt_speech_16k, zero_shot_spk_id):
model_input = self.frontend.frontend_zero_shot('', prompt_text, prompt_speech_16k, self.sample_rate, '')
del model_input['text']
del model_input['text_len']
model_input['embedding'] = model_input['llm_embedding']
self.frontend.spk2info[zero_shot_spk_id] = model_input
return True

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11 changes: 9 additions & 2 deletions cosyvoice/cli/frontend.py
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Expand Up @@ -198,8 +198,15 @@ def frontend_instruct(self, tts_text, spk_id, instruct_text):

def frontend_instruct2(self, tts_text, instruct_text, prompt_speech_16k, resample_rate, zero_shot_spk_id):
model_input = self.frontend_zero_shot(tts_text, instruct_text + '<|endofprompt|>', prompt_speech_16k, resample_rate, zero_shot_spk_id)
del model_input['llm_prompt_speech_token']
del model_input['llm_prompt_speech_token_len']
if bool(zero_shot_spk_id):
prompt_text_token, prompt_text_token_len = self._extract_text_token(instruct_text + '<|endofprompt|>')
model_input['prompt_text'] = prompt_text_token
model_input['prompt_text_len'] = prompt_text_token_len
if 'llm_prompt_speech_token' in model_input.keys():
del model_input['llm_prompt_speech_token']
if 'llm_prompt_speech_token_len' in model_input.keys():
del model_input['llm_prompt_speech_token_len']

return model_input

def frontend_vc(self, source_speech_16k, prompt_speech_16k, resample_rate):
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