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https://github.com/FunAudioLLM/CosyVoice.git
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@@ -134,10 +134,11 @@ prompt_speech_16k = load_wav('./asset/zero_shot_prompt.wav', 16000)
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for i, j in enumerate(cosyvoice.inference_zero_shot('收到好友从远方寄来的生日礼物,那份意外的惊喜与深深的祝福让我心中充满了甜蜜的快乐,笑容如花儿般绽放。', '希望你以后能够做的比我还好呦。', prompt_speech_16k, stream=False)):
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torchaudio.save('zero_shot_{}.wav'.format(i), j['tts_speech'], cosyvoice.sample_rate)
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# save zero_shot spk for futher usage
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# save zero_shot spk for future usage
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assert cosyvoice.add_zero_shot_spk('希望你以后能够做的比我还好呦。', prompt_speech_16k, 'my_zero_shot_spk') is True
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for i, j in enumerate(cosyvoice.inference_zero_shot('收到好友从远方寄来的生日礼物,那份意外的惊喜与深深的祝福让我心中充满了甜蜜的快乐,笑容如花儿般绽放。', '', '', zero_shot_spk_id='my_zero_shot_spk', stream=False)):
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torchaudio.save('zero_shot_{}.wav'.format(i), j['tts_speech'], cosyvoice.sample_rate)
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cosyvoice.save_spkinfo()
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# fine grained control, for supported control, check cosyvoice/tokenizer/tokenizer.py#L248
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for i, j in enumerate(cosyvoice.inference_cross_lingual('在他讲述那个荒诞故事的过程中,他突然[laughter]停下来,因为他自己也被逗笑了[laughter]。', prompt_speech_16k, stream=False)):
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@@ -74,6 +74,9 @@ class CosyVoice:
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self.frontend.spk2info[zero_shot_spk_id] = model_input
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return True
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def save_spkinfo(self):
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torch.save(self.frontend.spk2info, '{}/spk2info.pt'.format(self.model_dir))
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def inference_sft(self, tts_text, spk_id, stream=False, speed=1.0, text_frontend=True):
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for i in tqdm(self.frontend.text_normalize(tts_text, split=True, text_frontend=text_frontend)):
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model_input = self.frontend.frontend_sft(i, spk_id)
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