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v3sovits模型推理支持webui传语速参数调整合成语速

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v3sovits模型推理支持webui传语速参数调整合成语速
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RVC-Boss 2025-02-28 16:50:12 +08:00 committed by GitHub
parent a69be1eae7
commit c38b169019
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1 changed files with 2 additions and 2 deletions
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GPT_SoVITS/inference_webui.py
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@ -641,7 +641,7 @@ def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language,
if(len(refers)==0):refers = [get_spepc(hps, ref_wav_path).to(dtype).to(device)]
audio = vq_model.decode(pred_semantic, torch.LongTensor(phones2).to(device).unsqueeze(0), refers,speed=speed)[0][0]#.cpu().detach().numpy()
else:
refer = get_spepc(hps, ref_wav_path).to(device).to(dtype)#######这里要重采样切到32k,因为src是24k的，没有单独的32k的src，所以不能改成2个路径
refer = get_spepc(hps, ref_wav_path).to(device).to(dtype)
phoneme_ids0=torch.LongTensor(phones1).to(device).unsqueeze(0)
phoneme_ids1=torch.LongTensor(phones2).to(device).unsqueeze(0)
# print(11111111, phoneme_ids0, phoneme_ids1)
@ -666,7 +666,7 @@ def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language,
# print("fea_ref",fea_ref,fea_ref.shape)
# print("mel2",mel2)
mel2=mel2.to(dtype)
fea_todo, ge = vq_model.decode_encp(pred_semantic, phoneme_ids1, refer, ge)
fea_todo, ge = vq_model.decode_encp(pred_semantic, phoneme_ids1, refer, ge,speed)
# print("fea_todo",fea_todo)
# print("ge",ge.abs().mean())
cfm_resss = []