Comments (1)
data_svc/singer/....
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Related Issues (20)
- Error but show nothing(error). HOT 2
- 推理是是否需要用分离后的人声部分进行推理 HOT 1
- 推理速度如何加快,CPU
- 5分多钟的歌,生成出来只有2分钟左右,这个是什么原因,我使用的是space中的代码 HOT 2
- Pre-training model dataset questions in SO-VITS-SVC 5.0 HOT 1
- 现在需要男歌手翻唱女声的歌曲,使用的是singer0008,因为软件没有变调功能,出来的效果不太行 HOT 2
- 模型训练之后没有best.pt,能否改进?
- 奇怪的问题,GPU推理声音有部分失真,cpu推理正常 HOT 1
- UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weig ht_norm. HOT 3
- 训练的时候GPU利用率较低
- 训练说话模型而非唱歌的问题 HOT 16
- where the Timbre Encode come from? HOT 2
- 怎么把whisper替换掉啊???可以把whisper替换为fast-whisper嘛,为什么替换掉whisper就可以实时语音转换了
- 关于版权方面 HOT 2
- Missing data perturbation code in Data preprocessing. HOT 1
- 如何推理能产出48k的音频?
- 混合说话人参数时仅输出.spk.npy,没有输出模型,混合后的说话人参数怎么用?
- sovits好像会抑制高频数据,导致输出的结果平平的,有没有参数可以调节,达到还原度最高?
- 想修改模型架构为输出48k,不知道训练底模需要成本是多少?作者是用A100 80G训练的吗?7天 80 batch_size HOT 1
- Increasing SVC inference speed HOT 3
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